DocumentCode :
440975
Title :
Application of overcomplete ICA to SAR image compression
Author :
Budillon, Alessandra ; Cuozzo, G. ; D´Elia, C. ; Schirinzi, G.
Author_Institution :
Dipt. per le Tecnologie, Univ. di Napoli Parthenope, Italy
Volume :
1
fYear :
2005
fDate :
25-29 July 2005
Abstract :
In this paper the application of a transform coding technique, based on overcomplete independent component analysis (ICA), for the compression of single look intensity synthetic aperture radar (SAR) images is explored. The method has the advantage of representing the image through almost statistically independent coefficients, with an assigned distribution, so that a scalar entropy constrained quantizer, optimized for the coefficients statistics, can be used. Numerical results on ERS-1 data are presented.
Keywords :
geophysical signal processing; geophysical techniques; image coding; image representation; independent component analysis; multidimensional signal processing; radar imaging; remote sensing by radar; synthetic aperture radar; transforms; vector quantisation; ERS-1 data; SAR image compression; coefficient statistics; image representation; independent component analysis; scalar entropy constrained quantizer; single look intensity synthetic aperture radar images; statistically independent coefficients; transform coding; Constraint optimization; Earth; Entropy; Image coding; Independent component analysis; Laplace equations; Quantization; Statistical distributions; Synthetic aperture radar; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN :
0-7803-9050-4
Type :
conf
DOI :
10.1109/IGARSS.2005.1526127
Filename :
1526127
Link To Document :
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