WEBVTT

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Hi , I'm Shawna , the command historian ,

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and this year marks the 80th

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anniversary of the Navy lab , and we

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are hosting several events to mark this

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special occasion . Today we are here

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with Doctor Dan Sternlich , and we're

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going to talk about the 2nd revolution

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in seabed imaging sonar . Doctor

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Sternlich , oh , great , thank you ,

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Shawna . Um , it was 3 years ago ,

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wasn't it , that the , the two of us

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rolled out the first part of this story ,

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the first revolution in , in seabed

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imaging , uh , where we discussed how

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NSWC Panama City invented the side scan

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sonar . Well , this , as you said ,

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this is , this is the second half ,

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right ? This is the second part of that

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story , uh , the , what we call the

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second revolution of seabed imaging .

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Uh , Panama City's development of the

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synthetic aperture sonar , or what we

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call SAS for short . But let's first

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stop , let's talk about why , why we're

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interested in seabed mapping sonars .

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Uh , there are many applications . Uh ,

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there's geology , there is underwater

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construction , there's mapping for the

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oil and gas industry . Uh , there are

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the fisheries sciences . Uh , the , the

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geology of the oceans are , are so . So

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interesting , actually , the longest

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mountain chain in the world is undersea .

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It's called the mid-oceanic ridge , and

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it stretches for , you know , 40,000

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miles . You know , that's , that's

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twice the circumference of the Earth .

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And we can see this on your image here .

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Yes , yes , indeed . And , uh ,

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undersea cables , crisscross the , uh ,

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the world . Um , there's basically , uh ,

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over 500,000 miles of undersea cables .

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And these all have to be surveyed in ,

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and they all have to be maintained . I

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mean , 500,000 miles , that's , um ,

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that's over 20 times . The

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circumference of the Earth . Yes , yes .

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So , so we need this technology to ,

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uh , to image and to , and to

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understand this 70% of the earth's

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surface , which lies beneath our oceans

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and beneath our lakes . And this , of

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course , led to the , uh , really the

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groundbreaking uh invention of the side

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scan sonar in the 1950s . Uh , this was ,

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of course , at , at NSWC Panama City .

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Uh , the technology was developed by

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Julius Hagemann . And that system , uh ,

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which was officially designated the

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CMAC One , but more informally called

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the shadow graph , uh , by , uh , by

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most people , uh , would go on to ,

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um , to transition . Into , um ,

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um , you know , most of the , uh , NATO

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and US uh sonar systems that are used

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for airborne surface and EOD mine

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countermeasures . It's quite something

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like that started here . It's amazing

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and to think that , uh , this

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technology , which , which was designed

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to respond to a capability gap for

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finding small man-made objects , for

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finding mines . But then have such an

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influence throughout the world to , to

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help us map and understand that that

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that 2/3 of the earth's surface , you

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know , that we knew very little about

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before . OK . So , so , I mean , you

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can see some of the , uh , the

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outstanding imagery that we get with

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these , these types of systems , which

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are all synthetic aperture sonar now in

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our fleet that you see on the right

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here . So let's talk a little bit about

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the , uh , the shadow graph system

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itself . Uh , it was an incredible

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system . Um , these are some of , uh ,

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the example images , uh , from that

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sonar system . And you can really

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discern what kind of sea floor you're

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looking at . And even though this ,

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these were created around the 1960s ,

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uh , Examples from , you know ,

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universities and , and , and industry

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would not really equal this type of

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resolution . Yes , yes , it would be

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decades before , um , other systems

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would actually produce , uh , this

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quality of imagery . And uh that's

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because Julius had a uh kind of a

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secret sauce . And that was he used

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extremely high frequencies . He used um

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megahertz of acoustic frequencies .

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Those are the , those are the

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frequencies that we use like in

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ultrasound , right ? Think of the high

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resolution image . As you get , uh ,

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from an ultrasound image . And most

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commercial and academic systems , you

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know , use tens or hundreds of

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kilohertz , you know , up , you know ,

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for many decades after that . So people

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are always astounded at the , um , the

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clarity of these images that you got

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from the system . Um , and of course ,

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these were all done on paper at the

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time . We did not have the , the

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digital storage techniques that we had

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back then . So typically a person would

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sit at a console that you see on the

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right side of this image and , um , and

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take a look at the scrolling image as

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you , uh , traversed over the sea floor .

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So let's , let's pull up and , and put

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this all in a little bit of context .

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Uh , at around the end of World War II ,

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uh , the US Navy and , and our allies

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had developed some kind of rudimentary ,

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uh , mine detection sonar systems . Uh ,

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at the end of World War II , right

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actually right about 1950 , it was , uh ,

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Julius Hagemann and his team . They

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were assigned to the task of reviewing

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all of the existing technologies , US

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technologies , allies , even , even our

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former adversaries , and determining ,

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uh , what . Kind of sonar we would put

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on our new class of minesweepers . And

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he actually , uh , basically in

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this report , they , they come up with

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the design that would actually , um ,

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transition into our Minesweeper fleet .

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And that's shown actually on the bottom

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of this graph , this , this long line

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of , of shipboard sonar systems that

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are used to this day . But in that

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report , uh , Hagemann mentions that

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what the navy really needs for mine

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hunting is a sonar capable of creating

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picture quality images of the sea floor ,

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and he would not let this go . So he

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thought about this and thought about

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this and comes up with the invention of

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the side scan sonar , which would then ,

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of course , transition into many of

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these systems that we talked about .

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Now there's a little red box in the

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middle of this graph , um , and that's

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to designate that Panama City didn't

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stop working on , you know , the seabed

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imaging technologies , uh , at that

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time . Uh , we continued the thrust ,

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and in around 1970 , we actually

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started our work on synthetic aperture

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sonar . Uh , and the person who really

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started that was a scientist here

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called David Brown and , and some

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groundbreaking reports , and we'll , uh ,

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we'll talk about Brown's invention in

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just a few minutes . But I think it's ,

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it's very useful to talk about . Uh ,

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you know , what sides , how side scan

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sonar works very briefly in a , in a

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side scan sonar imaging geometry . So ,

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um , side scan sonar , uh , creates

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images of the seafloor , uh , one

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acoustic ping at a time , one scan line

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at a time . Uh , you can see in that

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bottom left image that a , a long , um ,

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strip of seafloor is imaged , uh , by

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the sonar system . It's think of it as

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one scan line . And then the sonar

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moves forward and creates another scan

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line , and so on and so on . So , um ,

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an image is created of the sea floor is

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created as the sonar moves through the

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water , one line at a time , kind of

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like comes out of your printer or a fax

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machine . How long does that take for

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it to move and create a picture ? Yeah ,

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that's , that's a very good question .

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Uh , sound travels at about 1500 m per

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second in the water , so it goes very

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quickly . So , we'll typically ping

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many times per second . So , um , most

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of the time , uh , you know , we can

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keep up with the speed of , of whatever

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the platform is , as long as we time

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the , uh , the signals correctly . So ,

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a , a tow fish , you know , carrying a

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side scan sonar . Um , might be

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operating , you know , 5 , 1020 knots .

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Uh , but , uh , unmanned undersea

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vehicle , you know , they typically

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move around 3 to 5 knots . So , um , it

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is very important to actually time your

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what we call our ping repetition rate ,

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right , to the , uh , to the movement

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of the sonar itself . It's a very

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holistic design , right ? You have to

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take all of these into account . But I

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think that the key point here is ,

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these images are created , you know ,

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every ping has a strip of sea floor

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associated with it . Uh , one

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limitation , if you look at the , um ,

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uh , kind of the diagram of , of a ping

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over to the right , one limitation is ,

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uh , you can see the words transducucer .

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Uh , yeah , that's the actual , you

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know , the business part of the sonar

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system . Think of it as an underwater

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antenna . And the , the size of a pixel

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on the sea floor , um , is going to be

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dependent on how far away that pixel is ,

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uh , from the sonar itself . Uh , the ,

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that is dictated by , um , a , a , a

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beam width , uh , uh , angular beam

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width coming out of the sonar . And of

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course , the longer distances will have

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larger pixels , you know , the , the ,

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that beam will intersect a larger piece

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of the sea floor than , than , uh , the ,

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the terrain , which is closer . So

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that's kind of an inherent distortion

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that's built into a side scan sonar

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image . Uh , now , one way you can Um ,

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you can resolve that problem is to

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create a very long array . The longer

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your array , the , uh , the more narrow

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that beam is . So you can , you can

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actually make these images , uh , finer

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in resolution . We still have the

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distortion problem though . And , um ,

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very , very long arrays are extremely

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expensive and very hard to manage and

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to handle . Think of putting a very

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long array on a small unmanned undersea

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vehicle , would be very hard to do .

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And that's where synthetic aperture

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sonar comes in . Uh , so , to put it

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very , very generally , uh , synthetic

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aperture sonar is , is the creation of

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an extremely long

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virtual array , virtual array or

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synthetic array , and it's created

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by integrating or combining , um ,

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all the pings along the trajectory of

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the vehicle itself . So , instead of

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being confined to the physical aperture

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that you put onto the sonar system ,

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you are creating this long virtual or

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synthetic aperture , which doesn't

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exist in space , but it it exists in

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time . And yeah , and by doing that ,

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and by um integrating um all of those

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pings , we can create a , a very narrow

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strip of , of , of high resolution

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seafloor imagery that is constant with

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range . It's , it's shown in , in the

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middle of , of , uh , that graphic

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there . It's constant at range , and

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because we can use very low frequencies ,

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we can actually create this image at

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very long ranges too . So as where the

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shadow graph system which operated in

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the megahertz frequencies could , could

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image at maybe ranges up to about 30

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yards , uh , with a synthetic aperture

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sonar , we can achieve comparable

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resolution at hundreds of yards or or

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even thousands of yards area

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coverage rate ? Yeah , yeah , it's ,

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it's , it's , it was groundbreaking .

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It took a little bit of time to make it

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to work . And we had a a number

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of challenges , uh , that we had to

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overcome in this area , and those are

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kind of shown on this graph here . Uh ,

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one is that , uh , in order to do

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synthetic aperture sonar processing ,

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we have to know the relative position

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of the vehicle along the length of this

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virtual array . Uh , we have to know

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the position within a fraction of an

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acoustic wavelength , and that's

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basically , uh , think of it as a

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fraction of an inch . And this is all

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done , uh , without GPS , right ? And

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the electromagnetic radiation doesn't

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really , uh , propagate well underwater .

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So , we had to figure out , you know ,

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how to overcome that challenge of

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knowing where our vehicle was that

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precisely . Uh , another challenge

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is that there's something we call the

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SASS speed limit , and that is , um ,

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if this is the physical aperture , the

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physical array , you can only , you can

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only ping , um , every half ,

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um , a , uh , an element length at a

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time , right ? So , here you move a

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half , ping , you move a half , ping ,

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and that can be very slow , right ? So

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there's a speed problem that we had to

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overcome . Um , another challenge is

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the is that the synthetic aperture beam

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forming process is , is very highly

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complex and can eat up many CPU cycles .

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And of course , we're talking about the

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1970s , and 1980s , 1990s . That was

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very challenging , right , for the uh

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computers of that day . And another

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challenge is . Um , if you , if you

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don't know , um , have a good sense of

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the , um , how sound speed varies

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through the water space that you're

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imaging through , that kind of unknown ,

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uh , fluctuation in sound speed can ,

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um , just can interfere with your ,

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your focusing process . So it's kind of

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important to have some kind of sense of ,

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uh , what that sound speed structure is .

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So those were considered , you know ,

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very big challenges , and there were ,

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uh , many people who said that , you

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know , SASS would , would never be , we

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would never be able to make SASS

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practical . A lot of obstacles in your ,

15:40.015 --> 15:42.348
in the ways , yes , but they were wrong .

15:42.755 --> 15:45.215
Took us a few years . Took us a few

15:45.215 --> 15:47.437
years , but we got there . So let us go

15:47.437 --> 15:51.395
back to 1969 and David Brown

15:51.395 --> 15:54.489
at Panama City . Uh , I , I really

15:54.489 --> 15:56.711
consider this the , the , the launching

15:56.711 --> 15:59.799
point of making SASS practical .

16:00.440 --> 16:02.559
David Brown comes up with this

16:02.559 --> 16:04.960
technique to break that SASS speed

16:04.960 --> 16:07.400
limit , and what he does is he comes up

16:07.400 --> 16:10.195
with the , the algorithm . The

16:10.195 --> 16:12.484
mathematical method to instead of using

16:12.484 --> 16:15.544
just one physical element , to , um ,

16:15.554 --> 16:18.375
put in , in line an , an array , a line

16:18.955 --> 16:21.554
of elements , physical elements that we

16:21.554 --> 16:24.335
can put on a vehicle . Um , and he

16:24.335 --> 16:26.934
figures out how to do the as processing .

16:27.510 --> 16:29.621
Uh , with that line of elements , and

16:29.621 --> 16:32.270
what that allows us to do is to move

16:32.270 --> 16:35.429
one half of an array at a time , right ?

16:35.549 --> 16:38.809
So , immensely increasing the speed ,

16:39.250 --> 16:41.306
right , that you can , um , that you

16:41.306 --> 16:43.309
can run these operations and , and

16:43.309 --> 16:45.531
create this imagery . So this is huge .

16:45.531 --> 16:47.365
It's , it's called multi-channel

16:47.365 --> 16:50.969
vernier technique , and it really is ,

16:51.070 --> 16:53.659
um , what I consider the beginning of ,

16:53.940 --> 16:57.570
of making SAS practical . That

16:57.570 --> 17:00.260
launched a a whole research , um ,

17:00.330 --> 17:03.650
program in the 1970s and , uh , Shawna ,

17:03.729 --> 17:05.785
do you , and it was all done on that

17:05.785 --> 17:07.951
vehicle on the left . Do you recognize

17:07.951 --> 17:10.173
that vehicle ? I know that . That's our

17:10.173 --> 17:12.396
shadow graph . That is our shadow graph

17:12.396 --> 17:14.569
and we did , we did the very early SAS

17:14.569 --> 17:17.410
experiments on the shadow graph vehicle

17:17.410 --> 17:20.194
which I think This is a wonderful tie

17:22.574 --> 17:25.944
back to base actually we do . We can go

17:25.944 --> 17:29.015
look at it at 608 Building 608 , and I ,

17:29.094 --> 17:30.983
I encourage , you know , everyone

17:30.983 --> 17:33.205
watching this to go , go take a look at

17:33.205 --> 17:35.427
the system if you can . But this system

17:35.427 --> 17:37.483
right here is , is has two synthetic

17:37.483 --> 17:40.635
apertures , experimental sonars put on

17:40.635 --> 17:42.691
a , a long line on the main body you

17:42.691 --> 17:44.839
can see in the black stripe . And a

17:44.839 --> 17:47.400
smaller lower frequency version um

17:47.400 --> 17:50.800
hanging from the bottom . And that dual

17:50.800 --> 17:53.260
high frequency and low frequency

17:53.369 --> 17:56.859
combination would kind of be canonical

17:57.000 --> 17:58.944
in years to come . It's a , it's a

17:58.944 --> 18:01.056
combination . That we use to this day

18:01.056 --> 18:03.349
where we can use the high frequency to

18:03.349 --> 18:05.750
get um very kind of crisp high

18:05.750 --> 18:08.229
resolution images of the sea floor and

18:08.229 --> 18:10.869
we can use use the low frequency and

18:10.869 --> 18:13.036
the image the resolution is still very

18:13.036 --> 18:15.310
good , but low frequencies penetrate

18:15.310 --> 18:17.430
into the sediment so we can actually

18:17.430 --> 18:19.541
image the subbottom with that is that

18:19.541 --> 18:21.541
what you mean by conical or what is

18:21.541 --> 18:23.708
canonical canonical , you know , being

18:23.708 --> 18:27.000
just kind of , um , a standard , right ,

18:27.069 --> 18:30.280
a standard that's used . And um we

18:30.280 --> 18:32.169
actually were able to get the low

18:32.169 --> 18:34.540
frequency uh part working fairly well

18:34.640 --> 18:37.680
and this image on the right is a low

18:37.680 --> 18:40.400
frequency image of buried targets and I

18:40.400 --> 18:43.790
do believe it is the first , um ,

18:43.800 --> 18:46.160
existing image of , of SASS being

18:46.160 --> 18:48.216
conducted out in the field . I think

18:48.216 --> 18:51.040
it's kind of historical in 75 . This

18:51.040 --> 18:54.530
was 1975 , yeah . And these are some of

18:54.530 --> 18:56.474
the guys who actually uh made this

18:56.474 --> 18:58.699
happen . Uh , on the , on the left ,

18:58.770 --> 19:00.992
you have , uh , Sam Richardson , who is

19:00.992 --> 19:03.489
installing an inertial navigation or an

19:03.489 --> 19:06.209
inertial motion unit in the , uh , in

19:06.209 --> 19:08.376
the fish itself . This was some of the

19:08.376 --> 19:10.410
early attempts to , to get that

19:10.410 --> 19:12.466
position , get that , that very fine

19:12.466 --> 19:14.655
position . Of , of the vehicle . Uh ,

19:14.785 --> 19:16.841
it was very expensive . I think that

19:16.841 --> 19:18.744
IMU system , uh , cost a million

19:18.744 --> 19:20.744
dollars . Can you , can you imagine

19:20.744 --> 19:22.800
what the , and this is in 1970 . Can

19:22.800 --> 19:25.194
you imagine how expensive that is . Um ,

19:25.425 --> 19:27.592
the cost of those systems and the size

19:27.592 --> 19:29.814
of those systems have come down and now

19:29.814 --> 19:32.036
they're practically off the shelf now .

19:32.150 --> 19:34.150
Uh , but these , on the right , you

19:34.150 --> 19:36.270
have Jim Christoph , uh , who would

19:36.270 --> 19:38.326
lead the SASS program , um , all the

19:38.326 --> 19:40.437
way until , you know , until my early

19:40.437 --> 19:42.603
days working in the field . I , I knew

19:42.603 --> 19:44.800
Jim . Frank Higgins was the , uh ,

19:44.910 --> 19:47.219
program manager over to the right , uh ,

19:47.239 --> 19:49.810
other folks I , I should mention , um ,

19:50.030 --> 19:53.180
Chester Loggins , Ed Pipkin , uh , they

19:53.180 --> 19:56.030
all show up in , uh , much of the early

19:56.030 --> 19:58.689
literature of this day . And around

19:58.689 --> 20:01.930
1980 , let me just go back to that .

20:01.969 --> 20:04.489
And so these are all employees of

20:04.489 --> 20:07.689
NSWCPCD in its prior name . That's ,

20:07.770 --> 20:09.881
that's incredible . It is It all came

20:09.881 --> 20:12.010
out of this . It's incredible lab . I

20:12.010 --> 20:13.899
think it was called the , we were

20:13.899 --> 20:16.066
probably , we were probably called the

20:16.066 --> 20:18.288
Mind Defense lab at that time , at that

20:18.288 --> 20:20.288
time , and eventually we became the

20:20.288 --> 20:22.399
coastal System Station , right , so .

20:23.489 --> 20:26.869
And in , in around 1980 , uh , we

20:26.869 --> 20:29.589
decided to tackle this , this issue of ,

20:29.910 --> 20:32.709
um , is , is sound , you know , what is ,

20:32.819 --> 20:35.109
you know , is , is the sound speed

20:35.109 --> 20:38.670
structure stable enough to , uh , to do

20:38.670 --> 20:42.069
SA processing . So we , we built this ,

20:42.150 --> 20:44.780
this large , um , test rail structure .

20:44.939 --> 20:47.810
This , this rail was , was , uh ,

20:48.150 --> 20:50.372
designed and developed by Frank Higgins

20:50.372 --> 20:53.550
and , and Lyle Z Adair . And um it was

20:53.550 --> 20:55.606
attached to the Hathaway Bridge . It

20:55.606 --> 20:57.828
was a permanent fixture for some time ,

20:57.828 --> 20:59.939
and it would be lowered down into the

20:59.939 --> 21:02.050
water , and you could move the uh the

21:02.050 --> 21:04.106
sonar apparatus through the water on

21:04.106 --> 21:07.839
this rail , and it , it allowed us to

21:07.859 --> 21:10.469
to see , to test our sonar gear and to

21:10.469 --> 21:12.589
test our algorithms , but to see how

21:12.589 --> 21:15.349
stable the uh the sound speed structure

21:15.349 --> 21:17.439
was , was in a tidal environment ,

21:17.550 --> 21:19.828
right ? With the tide going in and out .

21:19.828 --> 21:21.939
And we found that it was sufficiently

21:21.939 --> 21:24.589
stable to continue the program and to

21:24.589 --> 21:26.589
build this , this kind of early

21:26.589 --> 21:29.469
generation on the right of a towed dual

21:29.469 --> 21:32.000
frequency synthetic aperture sonar

21:32.000 --> 21:35.479
system . So then we moved to the

21:35.479 --> 21:38.680
1990s , and I , I kind of call this the ,

21:38.760 --> 21:41.339
the era of , of influential

21:41.430 --> 21:44.239
demonstrations . And in this , in this

21:44.239 --> 21:46.880
era , we built this , uh , I think of

21:46.880 --> 21:50.060
it as like the battleship of , of

21:50.199 --> 21:52.469
sensor platforms . Um , you can see

21:52.469 --> 21:56.270
it's 30 ft long . It housed a synthetic ,

21:56.390 --> 21:58.390
you know , dual frequency synthetic

21:58.390 --> 22:00.668
aperture sonar , which a picture of it ,

22:00.668 --> 22:02.723
which you can see close up on on the

22:02.723 --> 22:04.510
top left . But it also had a

22:04.510 --> 22:06.939
forward-look sonar , it had an

22:06.939 --> 22:10.800
electro-optic , uh , sensor on it . And

22:10.810 --> 22:14.569
this tow body itself towed another tow

22:14.569 --> 22:16.689
body which had a magnetometer . It

22:16.689 --> 22:19.410
itself was 10 or 15 ft long . So , you

22:19.410 --> 22:22.250
can imagine , you know , very , very um

22:22.250 --> 22:24.660
complicated to launch and to recover ,

22:24.969 --> 22:27.849
but a wonderful platform for testing

22:27.849 --> 22:30.530
out and refining the technology and the

22:30.530 --> 22:34.030
success of this system . Uh , really

22:34.030 --> 22:36.430
convinced the Navy to , uh , invest

22:36.430 --> 22:38.560
more in synthetic aperture sonar and

22:38.560 --> 22:42.319
move it towards transition . And , uh ,

22:42.329 --> 22:44.551
again , you know , some of the pioneers

22:44.551 --> 22:46.607
of , of the 1990s , some of them are

22:46.607 --> 22:48.718
shown here , um , I'll think of names

22:48.718 --> 22:51.689
like , uh , of Gary Samuelman , uh John

22:51.689 --> 22:54.810
Lathrop , Jose Fernandez , Carry

22:54.810 --> 22:57.050
Commander , uh , they were all part of

22:57.050 --> 22:59.000
this , uh , this effort to , uh ,

22:59.010 --> 23:02.510
refine this synthetic aperture sonar

23:02.510 --> 23:05.560
technology . And so we get to the

23:05.560 --> 23:08.880
2000s , and , um , Panama City is the

23:08.880 --> 23:12.550
first to uh integrate a synthetic

23:12.550 --> 23:14.839
aperture sonar onto an unmanned

23:14.839 --> 23:16.950
undersea vehicle that was done around

23:16.950 --> 23:20.699
uh 2002 . And uh that

23:21.359 --> 23:24.849
success led to a , um , a family of

23:24.849 --> 23:27.280
systems called the Small synthetic

23:27.280 --> 23:29.880
aperture Min , Mindhunter of the , the

23:29.880 --> 23:32.047
different generations that you can see

23:32.047 --> 23:34.260
on the right . And that technology

23:34.260 --> 23:37.079
itself , uh , transitioned into our

23:37.079 --> 23:39.780
surface warfare fleet . So in a very ,

23:39.939 --> 23:42.890
a very , very successful , uh ,

23:42.900 --> 23:45.339
progression of , of , of developments

23:45.339 --> 23:47.780
in this technology . And I will just

23:47.780 --> 23:49.947
mention , you know , our of course our

23:49.947 --> 23:53.020
collaborators , um , uh , did a lot too ,

23:53.060 --> 23:55.060
uh , you can see on the bottom left

23:55.060 --> 23:56.727
there there were , there were

23:56.727 --> 23:58.504
techniques what we that we call

23:58.504 --> 24:00.616
autofocusing to take care of any kind

24:00.616 --> 24:04.069
of residual , um . Uh , errors in the

24:04.069 --> 24:06.125
sound speed structure that we didn't

24:06.125 --> 24:08.291
know about that that way we could just

24:08.291 --> 24:10.236
look , work with the data and in a

24:10.236 --> 24:12.291
sense , make the data work , right ?

24:12.291 --> 24:14.180
Think of it as a , as an early AI

24:14.180 --> 24:16.347
technique to make the data work , um ,

24:16.347 --> 24:18.569
and focus the image without even having

24:18.569 --> 24:20.736
to know what the sound speed structure

24:20.736 --> 24:22.680
is . There were advances in motion

24:22.680 --> 24:25.030
estimation and compensation . Uh , we

24:25.030 --> 24:27.890
had , we had advances in , in fast

24:27.890 --> 24:31.459
algorithms to Um , compensate for the

24:31.459 --> 24:33.515
fact that our computers weren't fast

24:33.515 --> 24:35.681
back then , but now our computers have

24:35.681 --> 24:37.848
gotten faster too , right ? So that we

24:37.848 --> 24:40.015
have lots of options on how we do this

24:40.015 --> 24:42.237
fast processing . And then there were ,

24:42.237 --> 24:45.439
uh , advances in the , in the sonar

24:45.439 --> 24:47.780
technology and the , uh , components

24:47.780 --> 24:49.891
themselves , you know , that , that ,

24:49.891 --> 24:52.058
um , our partners actually developed .

24:52.058 --> 24:54.113
And so , all of this together , um ,

24:54.113 --> 24:56.280
got us to the point of where we are in

24:56.280 --> 24:59.119
transitioning this technology . And I

24:59.119 --> 25:01.286
thought here we just look at a , a , a

25:01.286 --> 25:03.640
few sample , um , images that we get

25:03.640 --> 25:05.819
with this , this type of technology .

25:06.199 --> 25:09.680
Um , I show the , the high frequency on

25:09.680 --> 25:12.209
the right . And the exact same survey ,

25:12.290 --> 25:14.689
exact same bit of sea floor , uh , on

25:14.689 --> 25:17.430
the left imaged with a low frequency

25:17.589 --> 25:19.890
part of , of that dual-band system .

25:20.089 --> 25:22.311
And believe it or not , that's the same

25:22.311 --> 25:24.760
real estate . Uh , the high frequency ,

25:24.770 --> 25:27.048
as you can see , gives you these crisp ,

25:27.048 --> 25:29.270
kind of high resolution images of the ,

25:29.270 --> 25:32.770
of the um of the interface of the ocean

25:32.770 --> 25:35.660
floor . And the , the lower frequency ,

25:35.739 --> 25:37.859
I , we call it mid frequency there

25:37.859 --> 25:39.970
actually penetrates into the bottom ,

25:39.970 --> 25:41.920
uh , so you see a , a lattice-like

25:42.089 --> 25:44.010
geological structure surface with

25:44.719 --> 25:46.939
exactly , and , and it's , it's , you

25:46.939 --> 25:48.661
can see that it's really quite

25:48.661 --> 25:50.939
different . But if you train your eyes ,

25:50.939 --> 25:53.050
you'll see that there's a pot , there

25:53.050 --> 25:55.161
are a couple of potholes which appear

25:55.161 --> 25:57.272
in both images , and you look at that

25:57.272 --> 25:59.495
and you can convince yourself that that

25:59.495 --> 26:01.772
is the same piece of real estate . Now ,

26:01.772 --> 26:03.828
on the insets on the right side is a

26:03.828 --> 26:07.040
field of objects put on the sea floor .

26:07.469 --> 26:09.525
And on the left side is , you know ,

26:09.525 --> 26:11.691
the , the low frequency image of those

26:11.691 --> 26:13.829
objects , but you see more of them ,

26:14.069 --> 26:16.189
and you see more of them because the

26:16.189 --> 26:18.300
low frequency is penetrating into the

26:18.300 --> 26:20.790
bottom . And so we're able to see

26:20.790 --> 26:22.957
objects which are buried . It's a very

26:22.957 --> 26:26.829
powerful tool for mind hunting . And

26:26.829 --> 26:29.150
then , um , this led to an even lower

26:29.150 --> 26:31.229
frequency synthetic aperture sonar

26:31.229 --> 26:33.089
system , which , uh , completely

26:33.089 --> 26:35.849
penetrated , um , into the sea floor

26:36.510 --> 26:39.949
and create and gave us the ability to

26:39.949 --> 26:42.349
create three dimensional images of

26:42.349 --> 26:46.290
buried objects . And then that even

26:46.290 --> 26:49.459
itself led to tomographic techniques of ,

26:49.569 --> 26:52.650
of object imaging , where , uh , once

26:52.650 --> 26:56.250
we detected an object , we could run

26:56.250 --> 26:59.729
around at 360 degrees , get a 360

26:59.729 --> 27:01.869
degree view , um , of this object

27:01.869 --> 27:03.925
laying on the sea floor , and create

27:03.925 --> 27:06.510
these just a Astounding images that you

27:06.510 --> 27:08.939
see here . It's 3D images . If you can

27:08.939 --> 27:11.589
even , you can even see on the right

27:11.589 --> 27:15.339
bottom is a 3D printout of , of one of

27:15.339 --> 27:17.450
the objects . It , it happens to be a

27:17.450 --> 27:20.699
lobster pot isn't , I , I think it's ,

27:20.750 --> 27:24.229
it's quite amazing . It's amazing . The

27:24.229 --> 27:27.540
rope and knot . Yeah . And this , this

27:27.540 --> 27:29.939
led to what I , what I like to , to

27:29.939 --> 27:33.010
call the , the age of SAS product lines .

27:33.170 --> 27:36.800
Uh , by around 2010 , 2012 ,

27:37.180 --> 27:39.890
um , the US , of course , had its , its

27:39.900 --> 27:41.956
product lines and SASS developing to

27:41.956 --> 27:44.178
the left . But , you know , many of our

27:44.178 --> 27:46.233
coalition partners and , and , and ,

27:46.300 --> 27:48.300
and navies and companies around the

27:48.300 --> 27:50.500
world were actually starting to , to

27:50.500 --> 27:52.859
build synthetic aperture sonar systems

27:52.859 --> 27:56.709
too . So it's , it's almost , um , an

27:56.709 --> 27:59.140
off the shelf kind of technology now .

27:59.640 --> 28:01.473
And all these products came from

28:01.473 --> 28:03.529
research led by this lab . Exactly ,

28:03.529 --> 28:06.449
exactly . Something to be proud of .

28:06.680 --> 28:09.449
Something to be proud of indeed . And

28:09.449 --> 28:12.219
here just um this uh slide here

28:12.219 --> 28:14.441
emphasizes that , uh , while we've come

28:14.441 --> 28:16.497
a long way and we've transitioned to

28:16.497 --> 28:18.663
this technology , um , there are still

28:18.663 --> 28:22.489
um advances uh uh being made in using

28:22.489 --> 28:24.322
these types of systems . There's

28:24.410 --> 28:27.160
increasing the range , there's , um ,

28:27.170 --> 28:29.003
there's creating high resolution

28:29.003 --> 28:32.290
bathymetry . uh , we , we are , we are

28:32.290 --> 28:34.400
still advancing the , um . The

28:34.400 --> 28:36.719
tomographic imaging technology , uh ,

28:36.839 --> 28:38.839
making it , um , finer resolution ,

28:38.920 --> 28:42.680
making it , um , uh , more 3D as , as

28:42.680 --> 28:44.920
you mentioned before , um , and the

28:44.920 --> 28:47.500
field of automatic target recognition

28:47.599 --> 28:50.079
is , is using many of the advances in ,

28:50.119 --> 28:52.286
in artificial intelligence and machine

28:52.286 --> 28:55.790
learning . To allow us to ,

28:55.800 --> 28:59.239
uh , use this type of data to really

28:59.239 --> 29:02.280
definitively and quickly determine what

29:02.280 --> 29:04.447
we're looking at on the seabed so that

29:04.479 --> 29:07.449
the robotic vehicle itself can can

29:07.449 --> 29:10.680
perceive the environment and understand

29:10.680 --> 29:13.390
what it's looking at and , and take ,

29:13.400 --> 29:17.369
uh , take action . So . So I'll

29:17.369 --> 29:19.410
just say , you know , current and

29:19.410 --> 29:22.969
emerging MCM systems , uh , our

29:22.969 --> 29:26.359
platforms are the , uh , MCM ships , uh ,

29:26.369 --> 29:28.425
that you see on the left there , and

29:28.425 --> 29:30.480
then of course our , our and the MCM

29:30.480 --> 29:32.702
ships use the , uh , the shipboard or ,

29:32.702 --> 29:34.890
or , um , mine countermeasures sonar ,

29:34.969 --> 29:38.510
the SQQ 32 , the littoral combat ship ,

29:38.530 --> 29:41.859
uh , variants that we have , uh , use ,

29:41.890 --> 29:44.410
um , you know , variants of the , um .

29:45.040 --> 29:48.800
AQS 24 and the AQS 20 sonar systems ,

29:48.839 --> 29:51.006
uh , towed in , in , in many different

29:51.006 --> 29:53.189
ways . They are explosive ordnance

29:53.189 --> 29:56.770
disposal , um , uh , contingent , uh ,

29:57.079 --> 29:59.760
uses UUV systems , uh , which have

29:59.760 --> 30:01.816
synthetic aperture sonars mounted on

30:01.816 --> 30:04.560
them . And I have to mention that there

30:04.560 --> 30:07.119
are the , the diver and marine mammal

30:07.119 --> 30:10.180
teams too . The , the marine mammals

30:10.180 --> 30:12.500
are maybe the oldest sonar system

30:12.500 --> 30:15.270
around , prehistoric , if you may , yes ,

30:15.660 --> 30:17.938
and very sophisticated , and they have ,

30:17.938 --> 30:20.300
uh , some very keen capabilities to

30:20.300 --> 30:22.540
find certain types of objects on the

30:22.540 --> 30:25.739
sea floor . It is great and that's

30:25.739 --> 30:28.859
that's a whole topic and , and , and

30:28.859 --> 30:32.489
lecture in itself . It is , it is .

30:32.780 --> 30:35.260
And of course , uh , you know , we are

30:35.260 --> 30:37.939
doing this in in advancing and evolving

30:37.939 --> 30:40.180
these capabilities to support the

30:40.180 --> 30:42.890
Navy's and and the Office of Naval

30:42.890 --> 30:46.599
Researchers uh vision of of expanding

30:46.599 --> 30:49.380
and enhancing our future mine

30:49.380 --> 30:52.969
countermeasures for us . So , you know ,

30:53.079 --> 30:54.968
I just want to reflect a little ,

30:54.968 --> 30:57.135
little bit . Um , there , there really

30:57.135 --> 31:00.959
is over 50 years of developing

31:00.959 --> 31:03.609
this technology at , at Naval Surface

31:03.609 --> 31:05.831
Warfare Center , Panama City Division .

31:06.189 --> 31:09.069
And , um , you know , we , we , we went

31:09.069 --> 31:11.291
from the early shadow graph systems all

31:11.291 --> 31:14.510
the way to these systems that are , are

31:14.829 --> 31:16.900
now used quite a bit on unmanned

31:16.900 --> 31:19.589
undersea vehicles . And , uh , it

31:19.589 --> 31:21.811
really , it really shows the , uh , the

31:21.811 --> 31:24.449
innovative nature of this laboratory .

31:24.829 --> 31:27.430
Um , and it is a , a tradition , uh ,

31:27.640 --> 31:29.862
that , that we're very proud of , and ,

31:30.239 --> 31:32.183
and I'm sure we'll continue , uh ,

31:32.239 --> 31:34.295
through the decades ahead . We don't

31:34.295 --> 31:36.517
know what our next 80 years is going to

31:36.517 --> 31:38.739
show us . Thank you , Doctor Sterling .

31:38.739 --> 31:40.683
This was a very great presentation

31:40.683 --> 31:42.560
taking us down the path and the

31:42.560 --> 31:46.420
evolution of seabed imaging and sonar ,

31:46.719 --> 31:48.830
and I can't wait to see what the next

31:48.830 --> 31:51.319
80 years brings . We have something to

31:51.319 --> 31:53.500
be very proud of . Thank you .

