文献类型：会议论文

英文题名：THREE-STAGE TERRAIN CORRECTION METHOD FOR POLARIMETRIC SAR DATA

作者：Zhao, Lei[1] Chen, Erxue[1] Li, Zengyuan[1] Li, Lan[1] Gu, Xinzhi[1]

第一作者：赵磊

通信作者：Chen, EX[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing, Peoples R China

会议论文集：36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 10-15, 2016

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Terrain correction; Angular variation effect; Polarization orientation angles; PolSAR; Biomass

年份：2016

摘要：The radiometric quality of polarimetric SAR (PolSAR) image is affected by terrain undulations due to 1) the variation of effective scattering area, 2) the variation of scattering mechanisms, and 3) the variation of polarization states. This paper proposed a three-stage terrain correction method of PolSAR data for the impact of above three aspects. PALSAR-2 PolSAR data and LiDAR forest AGB data are used to illustrate the method. The results showed that terrain effects can been effectively removed and the correlation between forest biomass and backscatter coefficient are improved after three-stage terrain correction. The HV polarization has the best correlation with the forest AGB (R = 0.75) and the correlation coefficient was increased about 0.3 compared with uncorrected case.