DocumentCode
2126235
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
Volume
4
fYear
2002
fDate
24-28 June 2002
Firstpage
2565
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1026612
Filename
1026612
Link To Document