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