多极化SAR图像3D-SPIHT压缩

张文超; 王岩飞; 潘志刚

doi:10.3724/SP.J.1146.2006.00887

多极化SAR图像3D-SPIHT压缩

doi: 10.3724/SP.J.1146.2006.00887

张文超^{①②;王岩飞},
王岩飞,
潘志刚

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出版历程
- 收稿日期: 2006-06-21
- 修回日期: 2006-11-29
- 刊出日期: 2008-01-19

3D-SPIHT Compression of Multi-polarimetric SAR Images

摘要

摘要: 该文针对多极化合成孔径雷达(SAR)图像在极化通道之间的相关性，提出了3D-SPIHT压缩方法。将多极化SAR图像(HH，HV，VV图像)作为一个整体，进行三维矩阵变换。首先在极化通道之间进行一维DCT变换，极化平面内进行二维离散小波变换(DWT)，然后对3个极化混合系数平面采用分级树的集合划分(SPIHT)算法进行嵌入式统一混合编码。由于不是单独处理每一极化图像，因此不仅可以去除各极化图像内部之间的相关性，也可以去除极化通道之间的相关性。另外，由于采用统一嵌入编码，码流具有完全嵌入性，可以实现3个极化平面之间比特的精确自动分配。理论推导和仿真结果表明该方法对多极化SAR图像压缩是十分有效的。
- 多极化SAR图像压缩;三维矩阵变换;分级树集合划分; 峰值信噪比
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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Sheen D R and Johnston L P. Statistical and spatial properties of forest clutter measured with polarimetric Synthetic Aperture Radar (SAR)[J].IEEE Trans. on Geoscience and RemoteSsensing.1992, 30(3):578-588[2]Lee Jong-Sen, Hoppel K W, Stephen A, Mango A, and Miller R. Intensity and phase statistics of multillok polarimetric and interferometric SAR imagery[J].IEEE Trans. on Geoscience and Remote Sensing.1994, 32(5):1017-1028[3]Kong J A, Swartz A A, and Yueh H A. Identification of terrian cover using optimum polarimetric classifier. Journal of Electromagnetic Waves and Applications, 1987, 2(2): 171-194.[4]Swartz A A, Yueh H A, and Kong J A. Optimal polarizations for achieving maximum contrast in radar images.Journal of Geophysical Research, 1988, 93(12): 252-260.[5]何振亚. 多维数字信号处理处理. 北京: 国防工业出版社, 1995: 34-54.[6]朱艳秋, 陈贺新, 戴逸松. 彩色图像三维矩阵变换压缩编码.电子学报, 1997, 25(7): 16-21.Zhu Yan-qiu, Chen He-xin, and Dai Yi-song. Compression coding of color image via 3-D matrix transform. Acta Electronica Sinica, 1997, 25(7): 16-21.[7]朱艳秋, 陈贺新, 戴逸松. 彩色图像三维DCT变换压缩编码.中国图像图形学报, 1997, 2(11): 795-800.Zhu Yan-qiu, Chen He-xin, Dai Yi-song. Compression coding of color image via 3D-DCT transform. Journal of Image and Graphics, 1997, 2(11): 795-800.[8]桑爱军, 陈贺新. 基于三维离散余弦变换的彩色图像压缩编码. 中国图像图形学报(A版), 2002, 7(12): 1269-1273.Sang Ai-jun and Chen He-xin. Color image coding based on three-dimensional DCT. Journal of Image and Graphics(A), 2002, 7(12): 1269-1273.[9]沈兰荪, 卓力.小波编码与网络视频传输. 北京: 科学出版社, 2005, 100-103.[10]William A S and Pearlman A. A new, fast and efficient image codec based on set partitioning in hierarchical trees[J].IEEE Trans. on Circuits and System for Video Technology.1996, 6 (2):243-249

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