full transcript
From the Ted Talk by Dan Berkenstock: The world is one big dataset. Now, how to photograph it ...
Unscramble the Blue Letters
What came next was making the rest of the satellite as samll and as simple as possible, basically a fnilyg telescope with four walls and a set of electronics smaller than a phnoe book that used less power than a 100 watt lightbulb. The big challenge became actually taking the pictures through that telescope. Traditional imaging satellites use a line scanner, similar to a Xerox machine, and as they traverse the etarh, they take pictures, scanning row by row by row to build the cmeptole image. Now people use these because they get a lot of lgiht, which means less of the noise you see in a low-cost cell phone image. The problem with them is they require very sophisticated pointing. You have to stay focused on a 50-centimeter target from over 600 miles away while moving at more than seven kilometers a second, which requires an awesome degree of complexity. So instead, we tunerd to a new goiarteenn of video sensors, onlagrliiy created for use in night vision goggles. Instead of taking a single, high quality image, we could take a videostream of individually neisior frames, but then we could recombine all of those frames together into very high-quality images using seitciahtsopd pixel processing techniques here on the ground, at a cost of one one hundredth a toitdniaral system. And we applied this technique to many of the other syetmss on the slaelttie as well, and day by day, our design evolved from CAD to prototypes to production units.
Open Cloze
What came next was making the rest of the satellite as _____ and as simple as possible, basically a ______ telescope with four walls and a set of electronics smaller than a _____ book that used less power than a 100 watt lightbulb. The big challenge became actually taking the pictures through that telescope. Traditional imaging satellites use a line scanner, similar to a Xerox machine, and as they traverse the _____, they take pictures, scanning row by row by row to build the ________ image. Now people use these because they get a lot of _____, which means less of the noise you see in a low-cost cell phone image. The problem with them is they require very sophisticated pointing. You have to stay focused on a 50-centimeter target from over 600 miles away while moving at more than seven kilometers a second, which requires an awesome degree of complexity. So instead, we ______ to a new __________ of video sensors, __________ created for use in night vision goggles. Instead of taking a single, high quality image, we could take a videostream of individually _______ frames, but then we could recombine all of those frames together into very high-quality images using _____________ pixel processing techniques here on the ground, at a cost of one one hundredth a ___________ system. And we applied this technique to many of the other _______ on the _________ as well, and day by day, our design evolved from CAD to prototypes to production units.
Solution
- flying
- light
- originally
- satellite
- systems
- sophisticated
- generation
- small
- turned
- earth
- traditional
- phone
- complete
- noisier
Original Text
What came next was making the rest of the satellite as small and as simple as possible, basically a flying telescope with four walls and a set of electronics smaller than a phone book that used less power than a 100 watt lightbulb. The big challenge became actually taking the pictures through that telescope. Traditional imaging satellites use a line scanner, similar to a Xerox machine, and as they traverse the Earth, they take pictures, scanning row by row by row to build the complete image. Now people use these because they get a lot of light, which means less of the noise you see in a low-cost cell phone image. The problem with them is they require very sophisticated pointing. You have to stay focused on a 50-centimeter target from over 600 miles away while moving at more than seven kilometers a second, which requires an awesome degree of complexity. So instead, we turned to a new generation of video sensors, originally created for use in night vision goggles. Instead of taking a single, high quality image, we could take a videostream of individually noisier frames, but then we could recombine all of those frames together into very high-quality images using sophisticated pixel processing techniques here on the ground, at a cost of one one hundredth a traditional system. And we applied this technique to many of the other systems on the satellite as well, and day by day, our design evolved from CAD to prototypes to production units.
Frequently Occurring Word Combinations
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| satellite imagery |
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| daily basis |
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| data scientist |
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| satellite design |
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| imaging satellites |
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| short weeks |
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Important Words
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- xerox