Compressive sensing for earth observation: the effect of a moving scene

This work aims at studying the compressive sensing (CS) applied to a pushbroom scanning technique for earth observation. Specifically, we studied the effect of the satellite movement on the CS reconstruction performances in a context of a future space mission devoted to the monitor of the cryosphere. Starting from real earth images, we first simulated the CS acquisition in the static situation, where we evaluated the effect of the selected CS algorithms and the accuracy of image reconstruction in different wavelength bands. Then we extended the reconstruction algorithms to pushframe acquisitions, i. e., static images processed line-by-line, and pushbroom acquisitions, i.e., moving frames, which consider the payload displacement during acquisition. A parallel analysis on the classical pushbroom acquisition strategy is also performed for comparison.