DocumentCode :
257713
Title :
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
Link To Document :
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