Title :
Compressed Sensing of Monostatic and Multistatic SAR
Author :
Stojanovic, Ivana ; Cetin, Mujdat ; Karl, W.C.
Author_Institution :
Boston Univ., Boston, MA, USA
Abstract :
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest. Different monostatic and multistatic SAR measurement configurations produce different Fourier sampling patterns. These patterns reflect different spectral and spatial diversity tradeoffs that must be made during task planning. Compressed sensing theory argues that the mutual coherence of the measurement probes is related to the reconstruction performance of sparse domains. With this motivation, we propose a closely related t%-average mutual coherence parameter as a sensing configuration quality parameter and examine its relationship to the reconstruction behavior of various monostatic and ultranarrow-band multistatic configurations. We investigate how this easily computed metric is related to SAR reconstruction quality.
Keywords :
atmospheric techniques; compressed sensing; remote sensing by radar; synthetic aperture radar; Fourier sampling patterns; SAR reconstruction quality; SAR sensor; compressed data collections; compressed sensing; compressed sensing theory; computed metric; measurement probes; monostatic SAR measurement configuration; monostatic multistatic configuration; multistatic SAR measurement configuration; mutual coherence; reconstruction behavior; scene reconstruction quality; sensing configuration quality parameter; sparse domain reconstruction performance; spatial diversity tradeoff; spectral diversity tradeoff; synthetic aperture radar sensor; t%-average mutual coherence parameter; task planning; ultranarrow-band multistatic configuration; Coherence; Image reconstruction; Probes; Receivers; Sensors; Synthetic aperture radar; Transmitters; $t%$ mutual coherence; Compressed sensing; multistatic SAR; mutual coherence; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2259794