BMI encodes a remote sensing image in one masked exposure by summing disjoint blocks, then reconstructs it with a deep unfolding network, achieving competitive PSNR at compression ratios from 4 to 100 with very low encoder cost.
Remote- sensing image scene classification with deep neural networks in jpeg 2000 compressed domain,
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Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
BMI encodes a remote sensing image in one masked exposure by summing disjoint blocks, then reconstructs it with a deep unfolding network, achieving competitive PSNR at compression ratios from 4 to 100 with very low encoder cost.