DocumentCode :
3541024
Title :
Compressive sensing and 3-D radar imaging
Author :
Stuff, Mark ; Thelen, Brian ; Garbarino, Joseph ; Subotic, Nikola
Author_Institution :
Michigan Tech Res. Inst. (MTRI), Ann Arbor, MI, USA
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
540
Lastpage :
543
Abstract :
Nonstandard image formation methods can enable fully three-dimensional fine resolution radar images of some objects of interest to be constructed from certain types of sparsely sampled three-dimensional apertures, which contain too little collected data to support traditional imaging methods. Such three-dimensional image products provide more target information than traditional SAR and ISAR imagery, and eliminate most of the difficulties associated with interpretation, mensuration, and recognition that result from overlay effects, self shadowing, scaling and viewing angle uncertainties.
Keywords :
compressed sensing; image recognition; image reconstruction; image resolution; radar imaging; 3D resolution radar imaging; ISAR imagery; compressive sensing; nonstandard image formation method; overlay effect; scaling angle uncertainty; self shadowing; sparsely sampled three-dimensional aperture; target information; three-dimensional resolution radar imaging; viewing angle uncertainty; Apertures; Compressed sensing; Image reconstruction; Radar imaging; Rendering (computer graphics); Surface reconstruction; ISAR; SAR; sparse aperture imaging; three-dimensional imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location :
Ann Arbor, MI
ISSN :
pending
Print_ISBN :
978-1-4673-0182-4
Electronic_ISBN :
pending
Type :
conf
DOI :
10.1109/SSP.2012.6319754
Filename :
6319754
Link To Document :
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