Adaptive polarimetric decomposition using incoherent ground scattering models without reflection symmetry assumption

作     者：Xiaoguang CHENG Wenli HUANG Jianya GONG 

作者机构：Nanjing Research Institute of Electronics Engineering99 Houbiaoying RoadNanjing 210007China State Key Laboratory of Information Engineering in SurveyingMapping and Remote SensingWuhan University129 Luoyu RoadWuhan 430079China Department of Geographical SciencesUniversity of MarylandCollege ParkMD 20742USA 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2015年第18卷第1期

页      面：1-10页

核心收录：

学科分类：0303[法学-社会学] 0709[理学-地质学] 0708[理学-地球物理学] 0705[理学-地理学] 0813[工学-建筑学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the National Key Basic Research Program of China(973 Program)under grant number 2012 CB719906 The authors would like to thank UAVSAR team in Jet Propulsion Laboratory(JPL),NASA for processing and providing UAVSAR data and the reviewers for reviewing this paper.The authors especially thank Dr Naiara Pinto in JPL for her useful suggestions to this paper. 

主　　题：polarimetric synthetic aperture radar(PolSAR) polarimetric decomposition non-negative eigenvalue decomposition(NNED) scattering model 

摘      要：Most of the current incoherent polarimetric decompositions employ coherent models to describe ground scattering;however,this cannot truly reflect the fact especially in natural ground surfaces.This paper proposes a highly adaptive decomposition with incoherent ground scattering models(ADIGSM).In ADIGSM,Neumann’s adaptive model is employed to describe volume scattering,and to explain cross-polarized power in remainder matrix,so that we can obtain orientation angle randomness for both volume scattering and the dominant ground scattering.The computation of volume scattering parameters is strictly constrained for non-negative eigenvalues,while the volume scattering parameters that explain the most cross-polarized power are selected.When applying ADIGSM to NASA’s UAVSAR data,the negative component powers were obtained in quite a few forest pixels.Compared with several newest decompositions,the volume scattering power is obviously lowered,especially in areas dominated by surface scattering or double bounce scattering.The orientation angle randomness of each component is reasonable as well.ADIGSM has potential to be applied in the fields such as PolSAR image classification,land cover mapping,speckle filtering,soil moisture and roughness estimation,etc.