文献类型：会议论文

英文题名：Error Analysis and Compensation for SINC Simplified Model in Forest Height Inversion

作者：Li, Wenmei[1] Zhang, Yu[1,2,3] Zhao, Lei[2,3] Chen, Huaihuai[1]

第一作者：Li, Wenmei

通信作者：Zhao, L[1];Zhao, L[2]

机构：[1]Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China

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

会议日期：JUL 17-22, 2022

会议地点：Kuala Lumpur, MALAYSIA

语种：英文

外文关键词：SINC Model; Iterative Algorithm; InSAR; Forest Height Inversion

年份：2022

摘要：The errors of the theoretical model and the simplified SINC model in forest height inversion are analyzed. Simulation results show that the higher the tree height, the lower the kz value, the error between the theoretical and simplified SINC model is greater in inverting the forest height. When kz is 0.03 and forest height is 40 meters, the difference of the inversion height between theoretical and simplified SINC model can reach 1.5 meters. To address this problem, bisection iterative algorithm is utilized to eliminate or minimize the error between theoretical and simplified SINC forest height inversion model based on X-band airborne interferometric synthetic aperture radar (InSAR) coherence data. Lidar H-100 CHM data are used to verify the effectiveness of bisection iterative algorithm. Compared with simplified SINC model, the performance of bisection iterative algorithm is better in retrieving the real value in the theoretical SINC model. The results show that the average height error of the bisection iterative algorithm is 0.5 m lower than that of the simplified SINC model in the inversion of forest parameters in the height range of 15-20 m.