Application of polarimetric SAR data processing to snow cover remote sensing. Validation using optical images and ground data.

被引：0

作者：

Ferro-Famil, L ^{[1
]}

Pottier, E ^{[1
]}

Dedieu, JP ^{[1
]}

Corgier, C ^{[1
]}

Saillard, J ^{[1
]}

机构：

[1] Univ Nantes, IRESTE, SEI Lab, EP CNRS 63, F-44306 Nantes, France

来源：

CEOS SAR WORKSHOP | 2000年 / 450卷

关键词：

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper is introduced a polarimetric approach to snow cover remote sensing based on techniques derived from polarimetric decomposition theorems dedicated to the analysis of natural media SAR images. Discriminant parameters are interpreted by the mean of polarimetric image comparison. The analysis of the changes from one image to the other are realized by construction of a unitary variation operator or through the classification of polarimetric representations gathering information from both images. Results are compared to remotely sensed optical images, ground measurements and meteorological simulations.

引用

页码：5 / 10

页数：4