Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

Author

Asghari, Mohammad H. ; Clemente, Carmine ; Jalali, Bahrain ; Soraghan, John J.

Author_Institution

Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA

fYear

2014

fDate

3-5 Dec. 2014

Firstpage

345

Lastpage

349

Abstract

Remote Sensing techniques are powerful tools for many civilian and military applications. However, in many cases high spatial, radiometric and temporal resolutions are required, leading to a large amount of data to be transmitted and/or stored. Synthetic Aperture Radar (SAR) is able to produce high resolution coherent images of a scene in any light and weather condition. In this paper we introduce the use of the Discrete Anamorphic Stretch Transform (DAST) to perform near lossless data compression of complex valued SAR image. DAST is applied to actual SAR data demonstrating the effectiveness of the proposed technique.

Keywords

data compression; discrete transforms; image coding; image resolution; radar imaging; synthetic aperture radar; DAST; civilian applications; complex valued SAR image; discrete anamorphic stretch transform; high resolution coherent images; high spatial resolutions; light condition; lossless data compression; military applications; radiometric resolutions; remote sensing techniques; synthetic aperture radar image compression; temporal resolutions; weather condition; Big data; Image coding; Image resolution; Sensors; Synthetic aperture radar; Transform coding; Transforms; Anamorphic Stretch Transform; Big Data; Lossless Compression; SAR;

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.2014.7032136

Filename

7032136