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Remote Sensing Technology and Application  2004, Vol. 19 Issue (6): 503-508    DOI: 10.11873/j.issn.1004-0323.2004.6.503
    
Compression of SAR Image Based on Spatial-OrientationTree in Wavelet Domain
ZHAO Yue-dong1,2, YANG Ru-liang2
(1.Graduate School,Chinese Academy of Sciences,Beiijng100039,China;2.Institute of Electronics,Chinese Academy of Sciences,Beijing100080,China)
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Abstract  

The synthetic aperture radar (SAR) is an airborne or spaceborne radar mapping technique for gener-ating high-resolution maps of surface target areas and terrain. Its images usually have big size and contain alarge amount of data. So it is a key problem in SAR image data processing that how to compress the image toreduce data amount effectively so that it can be saved or transmitted conveniently. In recent years, wavelettransform is widely used in the field of image compression. The Spatial-Orientation Tree (SOT) Structure playsa very important role in compression of SAR image based on Wavelet transform. Both the Embedded Zero-treeWavelet (EZW) and the Set Partitioning in Hierarchical Trees (SPIHT) coding schemes utilize the parent-chil-dren relationship in SOT. EZW is a simple, yet remarkably effective, image compression algorithm, have theproperty that bits in the bit stream are generated in order of importance, yielding a fully embedded code. SARimage suffer from speckle noise that seriously degrades image quality and compressibility. Removal of specklenoise can enhance correlations of pixels and compressibility of SAR image. As a very efficient structure to inves-tigate the spatial correlations among wavelet coefficients at different resolutions, SOT has not been well used innoise removal.In this paper we proposed a SOT structure based method, which integrated speckle noise removal andEZW algorithm. Results of compression of large numbers of Airborne SAR images validate the proposedmethod is efficient and better than JPEG and EZW algorithm.

Key words:  Synthetic aperture rader      Wavelet transform      Image compression      Spatial-orientation tree(SOT)      Embedded zero-tree wavelet(EZW)     
Received:  23 April 2004      Published:  26 December 2011
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Cite this article: 

ZHAO Yue-dong, YANG Ru-liang. Compression of SAR Image Based on Spatial-OrientationTree in Wavelet Domain. Remote Sensing Technology and Application, 2004, 19(6): 503-508.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2004.6.503     OR     http://www.rsta.ac.cn/EN/Y2004/V19/I6/503

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