Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection
Yang Xue-zhi①② Chen Jing① Zhou Fang① Lang Wen-hui① Zheng Xin② Li Guo-qiang②
①(School of Computer and Information, Hefei University of Technology, Hefei 230009, China) ②(Science and Technology on Electro-optic Control Laboratory, Luoyang 471009, China)
A Non Local Means (NLM) filtering based on Homogeneous Pixels Preselection (NLM-HPP) is proposed to solve the problem of preserving structural feature and polarimetric scattering properties in speckle reduction of Polarimetric SAR (PolSAR) images. Firstly, this method combines statistical property and polarimetric scattering mechanism to select homogeneous pixels in the filtering process. Secondly, the loss function of structure is introduced to improve the accuracy of similarity measure between pixels in NLM method. Finally, it averages the covariance matrices of homogeneous pixels with the weights according to the refined similarity measure, inducing efficient reduction of the speckle in PolSAR images. The implementation results on real PolSAR images, compared with the Refined Lee filter, Scattering-Model-Based speckle filter and two kinds of Non Local Means filter, demonstrate that the proposed method can reduce speckle effectively, and further retain structural information and polarimetric information in PolSAR images.
杨学志, 陈靖,周芳,郎文辉,郑鑫,李国强. 基于同质像素预选择的极化SAR图像非局部均值滤波[J]. 电子与信息学报, 2015, 37(12): 2991-2999.
Yang Xue-zhi, Chen Jing, Zhou Fang, Lang Wen-hui, Zheng Xin, Li Guo-qiang. Polarimetric SAR Image Despeckling Using Non Local Means Filter Based on Homogeneous Pixels Preselection. JEIT, 2015, 37(12): 2991-2999.
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