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3D-SPIHT Compression of Multi-polarimetric SAR Images |
Zhang Wen-chao①②; Wang Yan-fei①; Pan Zhi-gang①② |
①Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China; ②Graduate University of Chinese Academy of Sciences, Beijing 100039, China |
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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 what’s 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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Received: 21 June 2006
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