Near-lossless compression of SAR imagery using gradient adaptive lattice filters

Author

Ives, Robert W.

Author_Institution

Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

663

Abstract

Synthetic aperture radar (SAR) data collections can cover large areas at high resolution, generating massive amounts of data. Many effective compression techniques exist that can reduce the volume of data for storage and transmission with slight loss of information. This paper addresses a near-lossless three-stage SAR compression scheme. The first stage uses a gradient adaptive lattice filter to decorrelate the data. In the second stage, the residue is then subject to quantization. Finally, the quantized residue is entropy coded.

Keywords

adaptive filters; data compression; decorrelation; entropy codes; gradient methods; image coding; lattice filters; quantisation (signal); radar imaging; radar resolution; synthetic aperture radar; SAR data collections; SAR imagery; data decorrelation; entropy coding; gradient adaptive lattice filter; near-lossless compression; quantization; quantized residue; radar resolution; synthetic aperture radar; three-stage compression; Adaptive filters; Bit rate; Compression algorithms; Decorrelation; Entropy; Image coding; Lattices; Pixel; Radar imaging; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.987007

Filename

987007