A review of current raw SAR data compression techniques

Author

El Boustani, Abdelhakim ; Brunham, K. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

2

fYear

2001

fDate

2001

Firstpage

925

Abstract

Synthetic aperture radar (SAR) is a sophisticated technique of all-weather radar imaging capable of producing fine detailed images from a moving platform. When such a radar is placed on-board a satellite, compression of the raw SAR signal is necessary to reduce the huge amount of collected data for the downlink to a ground station within the bandwidth constraints. This is further exasperated by new high resolution imaging radars currently in development capable of producing significantly more data. This paper presents a review of current raw SAR data compression techniques which are classified into three different categories according to the method of quantization, scalar or vector, and to the domain of compression

Keywords

data compression; image resolution; radar imaging; radar resolution; synthetic aperture radar; SAR data compression; SAR signal; VQ; all-weather radar imaging; bandwidth constraints; downlink; ground station; high resolution imaging radar; satellite radar; scalar quantization; synthetic aperture radar; transform domain; vector quantization; Bandwidth; Data compression; Downlink; High-resolution imaging; Image coding; Quantization; Radar imaging; Satellite ground stations; Spaceborne radar; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2001. Canadian Conference on

Conference_Location

Toronto, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-6715-4

Type

conf

DOI

10.1109/CCECE.2001.933565

Filename

933565