Title :
Compressed sensing for Synthetic Aperture Radar imaging
Author :
Patel, Vishal M. ; Easley, Glenn R. ; Healy, Dennis M., Jr. ; Chellappa, Rama
Author_Institution :
Univ. of Maryland, College Park, MD, USA
Abstract :
In this paper, we introduce a new Synthetic Aperture Radar (SAR) imaging modality that provides a high resolution map of the spatial distribution of targets and terrain based on a significant reduction in the number of transmitted and/or received electromagnetic waveforms. This new imaging scheme, which requires no new hardware components, allows the aperture to be compressed and presents many important applications and advantages among which include resolving ambiguities, strong resistance to countermeasures and interception, and reduced on-board storage constraints.
Keywords :
radar imaging; synthetic aperture radar; compressed sensing; spatial distribution; synthetic aperture radar imaging; Compressed sensing; High-resolution imaging; Image coding; Image resolution; Optical imaging; Radar antennas; Radar imaging; Radar polarimetry; Reflectivity; Synthetic aperture radar; SAR; compressed sensing;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414307
