3D-SPIHT Compression of Multi-polarimetric SAR Images

Zhang Wen-chao; Wang Yan-fei; Pan Zhi-gang

doi:10.3724/SP.J.1146.2006.00887

Volume 30 Issue 1

Jan. 2011

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Zhang Wen-chao, Wang Yan-fei, Pan Zhi-gang. 3D-SPIHT Compression of Multi-polarimetric SAR Images[J]. Journal of Electronics & Information Technology, 2008, 30(1): 216-219. doi: 10.3724/SP.J.1146.2006.00887

Citation:

Zhang Wen-chao, Wang Yan-fei, Pan Zhi-gang. 3D-SPIHT Compression of Multi-polarimetric SAR Images[J]. Journal of Electronics & Information Technology, 2008, 30(1): 216-219. doi: 10.3724/SP.J.1146.2006.00887

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3D-SPIHT Compression of Multi-polarimetric SAR Images

doi: 10.3724/SP.J.1146.2006.00887

Received Date: 2006-06-21
Rev Recd Date: 2006-11-29
Publish Date: 2008-01-19

Abstract

Abstract

This paper proposes a method for multi-polarization Synthetic Aperture Radar (SAR) images compression: 3D-SPIHT，which considers the multi-polarimetric SAR images(HH,HV,VV) as a 3D-matrix unit, then does 3D-matrix transform to it. First, 1D-DCT(Discrete Cosine Transform) is processed among the polarimetric channel and then 2D-DWT(Discrete Wavelet Transform) is processed in the polarimetric SAR image plane, finally, 3D-SPIHT algorithm is adopted to encode the mixed coefficients of three frames entirely. This method does not process every channel image separately, so it not only can remove the redundancies of the image inside, but also can remove the redundancies among the polarimetric channels. And whats more, the embedded code stream can implement the precise bit allocation among the polarization channels. Both the theory and the experimental results show that the method in this paper is efficient.

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References(1)

References

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