DocumentCode
3491987
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
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
2141
Lastpage
2144
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414307
Filename
5414307
Link To Document