利用小波分析来抑制合成孔径雷达图象的相干斑噪声

唐健; 王贞松

利用小波分析来抑制合成孔径雷达图象的相干斑噪声

唐健,
王贞松

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出版历程
- 收稿日期: 1996-06-27
- 修回日期: 1996-08-19
- 刊出日期: 1997-07-19

SUPPRESSING THE COHERENT SPECKLE OF SAR IMAGES WITH WAVELET ANALYSIS

摘要

摘要: 本文利用小波变换来对合成孔径雷达图象做多分辨率分析,说明了相干斑噪声对图象的不同频率成份的影响程度是不同的,同时也说明了相干斑噪声与图象在小波变换下具有截然不同的奇异性.因此,本文提出了用小波分析来抑制相干斑噪声。实验证明了:小波分析除了能够对相干斑具有很好的抑制效果外,还保留了尽可能多的原图象的目标特征。利用小波分析来抑制相干斑噪声是一个十分吸引人的新方法。
- 合成孔径雷达; 相干斑噪声; 小波变换; 多分辨率分析; 奇异性
Abstract: This paper studies Synthetic Aperture Radar(SAR) images with the multiresolution analysis of wavelet transform. This study indicates that the influences of the coherent speckle noise on different frequency components of the SAR images are different, and that the manners of singularity of the SAR images and the speckle noise are different, too. So, this paper presents a denoising method of wavelet analysis to reduce the coherent speckle noise. In the meanwhile, a lot of experiments approve that this method not only suppresses the speckle noise effectively, but also preserves as many target characteristics of original images as possible. It shows that this denoising method of wavelet analysis offers a very attractive alternative to suppress the coherent speckle noise of the SAR images.

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Dainty J C 编,黄乐天,等译.激光斑纹及有关现象.北京:科学出版社,1981,第二章.[2]陈云权.部分相关多视降低合成孔径雷达相干斑噪声的研究:[硕士论文].北京:中国科学院电子学研究所,1985.[3]Ulaby F K, Moore P K, Fung A K. Microwave Remote Sensing, 1986, 2162.[4]Shi Z H, Fung K B. Comparison of digital speckle filters, IGRASS94, California Institute of Technology, USA: 2129-2133.[5]Lee J S. Digital image enhancement and noise filtering by use of local statistics, IEEE Trans. on PAMI, 1980, PAMI-2(2): 165-168.[6]Dewaele P. Wambacq P.[J].Oosterlinck A,et al. Comparison of Some Speckle Reduction Techniques for SAR Imaging, IGRASS90, Maryland, USA: the University of Maryland College Park.2417,:-et al. Comparison of Some Speckle Reduction Techniques for SAR Imaging, IGRASS' target='_blank'>[7]Lee J S. Speckle suppression and analysis for SAR images, Optical Engineering, 1986, 25: 636-643.[8]Mallat S, Hwang W L. IEEE Information Theory, 1992, 38(2): 617-643.[9]秦前清,杨学凯.实用小波分析.西安:西安电子科大出版社,1994,第一、二、三、六和七章.[10]李世雄,刘家琦.小波变换和反演数学基础.北京:地质出版社,1994,第三、六、八和九章.[11]刘贵忠,邸双亮.小波分析及其应用.西安:西安电子科大出版社,1992,第三和九章.[12]唐健.抑制SAR图象相干斑的新方法--小波分析、INSAR信号与误差分析和相位展开算法的研究:[硕士论文].北京:中国科学院电子学研究所,1996.[13]Ranchin T, Cauneau F. Speckle Reduction in SAR Imagery Using Wavelets, SPIE, 1993, Vol. 2034, Mathematical Imaging, 1993, 432-437.[14]Donoho D L. Wavelet Shrinkage and W. V. D: A 10-Minutes Tour, Techniques Reports. Califoria, USA: Stanford Univ., 1992.[15]Vachon P W. Spectral estimation techniques for multilook SAR image of ocean waves, IEEE Trans. on GRS, 1992, GRS-30(3): 568-577.[16]Goldfinger A D. Estimation of spectral from speckled images, IEEE Trans. on AES, 1982, AES-18(5): 675-681.

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