WANG Wenbo, ZHANG Xiaodong, YI Xuming, FEI Pusheng. Speckle Suppression Method for SAR Image with Curvelet Domain BivaShrink Model[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 814-817.
Citation:
WANG Wenbo, ZHANG Xiaodong, YI Xuming, FEI Pusheng. Speckle Suppression Method for SAR Image with Curvelet Domain BivaShrink Model[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 814-817.
WANG Wenbo, ZHANG Xiaodong, YI Xuming, FEI Pusheng. Speckle Suppression Method for SAR Image with Curvelet Domain BivaShrink Model[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 814-817.
Citation:
WANG Wenbo, ZHANG Xiaodong, YI Xuming, FEI Pusheng. Speckle Suppression Method for SAR Image with Curvelet Domain BivaShrink Model[J]. Geomatics and Information Science of Wuhan University, 2009, 34(7): 814-817.
1 College of Sciences,Wuhan University of Science and Technology,947 Heping Road,Wuhan 430065,China;2 State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;3 School of Mathematics and Statistics,Wuhan University,Luojia Hill,Wuhan 430072,China
Based on the statistical property of SAR image speckle noise and curvelet property of capturing the intrinsic geometrical structure of image,a method of SAR image denoising based curvelet domain adaptive BivaShrink meodel is presented combining curvelet transform with BivaShrink denoising model.By combining current layer curvelet coefficients and previous layer curvelet coefficients to calculate variance homogeneous measurement(VHM),the local adaptive window is determined to estimate the shrinkage factor optimally,then the curvelet coefficients are shrunk using the shrinkage factor.The scheme utilizing the correlation of curvelet coefficients in the same subband and previous subband,and it can reduces SAR speckle noise effectively and preserving details of SAR image as well.Experiment results show that the presented method achieves better performance not only at speckle reduction but also at the preservation of structural detail information than other commonly used speckle filters.
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