文献类型：会议论文

英文题名：TREE HEIGHT RETRIEVAL METHODS USING POLINSAR COHERENCE OPTIMIZATION

作者：Luo, Huanmin[1] Chen, Erxue[2] Cheng, Jian[3] Li, Xiaowen[1]

第一作者：Luo, Huanmin

通信作者：Luo, HM[1]

机构：[1]Univ Elect Sci & Technol China, Inst Geospatial Informat Sci & Technol, Chengdu 610054, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China;[3]Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China

会议论文集：30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) on Remote Sensing - Global Vision for Local Action

会议日期：JUN 25-30, 2010

会议地点：Honolulu, HI

语种：英文

外文关键词：Tree Height; Coherence Optimization; Retrieval Methods; POLInSAR

年份：2010

摘要：This paper investigates to what extent interferometric coherence optimization in radar polarimetry improves the performance of forest height inversion method using POLInSAR measured data. Based on repeat pass E-SAR data and the corresponding ground measured forest stand heights, several available forest height inversion methods are validated and compared together with coherence optimization algorithms such as the iteration for the maximization of the magnitude difference (BF-mag) coherence optimization algorithm and phase diversity (PD) coherence optimization algorithm. The results show that coherence phase optimization can improve the performance of the tree height retrieval method based on coherence phase information, but can not improve the performance of the retrieval method based on coherence amplitude information alone. Furthermore, an integrated inversion method, which combines coherence phase with coherence amplitude information and includes corresponding polarization coherence optimization and compensation of non-volume scattering decorrelation, is proposed and discussed.