DocumentCode :
257705
Title :
2-D linear predictive compression of complex synthetic aperture radar (SAR) images
Author :
Marple, S. Lawrence
Author_Institution :
Signal Res., Depoe Bay, OH, USA
fYear :
2014
fDate :
3-5 Dec. 2014
Firstpage :
336
Lastpage :
339
Abstract :
Current compression of complex SAR imagery uses line-by-line 1-D linear prediction which can cause discontinuities during reconstruction between lines. This paper introduces computationally fast full 2-D linear prediction techniques which can process entire complex SAR images (or sub-images) with another 10X factor improvement in complex data compression over 1-D techniques, while yielding better weak target and shadow area preservation. 2-D linear prediction also compresses linear extent target features not possible with 1-D algorithms.
Keywords :
radar imaging; synthetic aperture radar; 2D linear predictive compression; SAR images; complex data compression; complex synthetic aperture radar images; shadow area preservation; target features; Algorithm design and analysis; Fitting; History; Image coding; Image reconstruction; Prediction algorithms; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GlobalSIP.2014.7032134
Filename :
7032134
Link To Document :
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