Title :
Uncertainty of remote sensing model inversion and a synthetical inverse scenario
Author :
Tang, Shihao ; Zhu, Qijiang ; Li, Xiaowen ; Wang, Jindi ; Yan, Guangjian
Author_Institution :
Dept. Geogr., Beijing Normal Univ., China
Abstract :
The sources of the inverse error of remote sensing physical models are analyzed and divided into two groups. From the point of view of controlling these errors, a synthetic inverse scenario is put forward. A case study using simulated data shows that this scenario is better than ordinary methods in robustness and global convergency.
Keywords :
inverse problems; remote sensing; global convergency; inversion error sources; remote sensing model inversion uncertainty; remote sensing physical models; robustness; synthetic inverse scenario; Error correction; Geographic Information Systems; Geography; Information geometry; Inverse problems; Predictive models; Remote sensing; Robustness; Solid modeling; Uncertainty;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026612
