Improved SMB speckle filtering of polarimetric SAR data with synergistic use of orientation angle compensation and spatial majority rule  

作　　者：柳林 江利明 李洪忠 

机构地区：[1]State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China [2]University of Chinese Academy of Sciences, Beijing 100049, China [3]Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China

出　　处：《Journal of Central South University》2016年第6期1508-1514,共7页中南大学学报（英文版）

基　　金：Project(2012CB957702) supported by the National Basic Research Program of China;Projects(41590854,41431070,41274024,41321063) supported by the National Natural Science Foundation of China;Project(Y205771077) supported by the Hundred Talents Program of the Chinese Academy of Sciences

摘　　要：The scattering-model-based(SMB)speckle filtering for polarimetric SAR(Pol SAR)data is reasonably effective in preserving dominant scattering mechanisms.However,the efficiency strongly depends on the accuracies of both the decomposition and classification of the scattering properties.In addition,a relatively weak speckle reduction particularly in distributed media was reported in the related literatures.In this work,an improved SMB filtering strategy is proposed considering the aforementioned deficiencies.First,the orientation angle compensation is incorporated into the SMB filtering process to remedy the overestimation of the volume scattering contribution in the Freeman-Durden decomposition.In addition,an algorithm to select the homogenous pixels is developed based on the spatial majority rule for adaptive speckle reduction.We demonstrate the superiority of the proposed methods in terms of scattering property preservation and speckle noise reduction using L-band Pol SAR data sets of San Francisco that were acquired by the NASA/JPL airborne SAR(AIRSAR)system.The scattering-model-based （SMB） speckle filtering for polarimetric SAR （PolSAR） data is reasonably effective in preserving dominant scattering mechanisms. However, the efficiency strongly depends on the accuracies of both the decomposition and classification of the scattering properties. In addition, a relatively weak speckle reduction particularly in distributed media was reported in the related literatures. In this work, an improved SMB filtering strategy is proposed considering the aforementioned deficiencies. First, the orientation angle compensation is incorporated into the SMB filtering process to remedy the overestimation of the volume scattering contribution in the Freeman-Durden decomposition. In addition, an algorithm to select the homogenous pixels is developed based on the spatial majority rule for adaptive speckle reduction. We demonstrate the superiority of the proposed methods in terms of scattering property preservation and speckle noise reduction using L-band PolSAR data sets of San Francisco that were acquired by the NASA/JPL airborne SAR （AIRSAR） system.

关 键 词：scattering-model-based （SMB） speckle filter polarimetric synthetic aperture radar orientation angle compensation spatial majority rule 

分 类 号：TN957.52[电子电信—信号与信息处理] V557[电子电信—信息与通信工程]