Signal And Image Processing For Remote Sensing

Written by more than 50 world leaders in the field, this book covers major topics in signal and image processing for remote sensing. The second edition features new chapters on compressive sensing, the super-resolution method in the mixed pixel problem with hyperspectral images, sparse representatio [...]
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Written by more than 50 world leaders in the field, this book covers major topics in signal and image processing for remote sensing. The second edition features new chapters on compressive sensing, the super-resolution method in the mixed pixel problem with hyperspectral images, sparse representation for target detection and classification in hyperspectral imagery, SAR image processing from autofocusing to change detection, and a critical review of pansharpening. Additional topics new to this edition include non-negative matrix and tensor factorization, ISAR imaging of targets, and applications of the Huang-Hilbert transform. The text presents a unique signal-processing point of view for image processing.