Algorithm Overcomes Compromise In Acquisition Of Satellite Imagery

6/12/2018

The Engineer -- CS Assistant Professor Jian Peng and other Illinois researchers have developed a new algorithm to eliminate the compromise between high resolution and high frequency in satellite imagery by fusing data into one integrated product. Coverage also by LaserFocusWorld and AgPro.

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The Engineer -- CS Assistant Professor Jian Peng and other Illinois researchers have developed a new algorithm to eliminate the compromise between high resolution and high frequency in satellite imagery by fusing data into one integrated product. Coverage also by LaserFocusWorld and AgPro.

 


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This story was published June 12, 2018.