IDENTIFICATION OF SNOW USING SAR POLARIMETRY TECHNIQUES

被引：0
作者：
Singh, G. [1 ,3 ]
Yamaguchi, Y. [2 ]
Park, S. E. [1 ]
Venkataraman, G. [3 ]
机构：
[1] Niigata Univ, Grad Sch Sci & Technol, Niigata 95021, Japan
[2] Niigata Univ, Dept Informat Engn, Niigata, Japan
[3] Indian Inst Technol, Ctr Stud Resources Engn, Mumbai, Maharashtra, India
来源：
NETWORKING THE WORLD WITH REMOTE SENSING | 2010年 / 38卷
关键词：
Polarimetry; Radar Snow Index; Decomposition; Polarization Fraction; Eigenvalues;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The full polarimetric L-band ALOS-PALSAR data of snow cover area in Himalayan region have been analyzed based on various component scattering mechanism models and all model results are compared. Various polarimetric descriptors (Viz. degree of polarization, co-polarization coherence, total power, phase difference, polarization fraction) are also applied for snow discrimination. Based on these techniques, a new method i.e. Radar Snow Index (RSI) has been developed for total snow discrimination from other targets.
引用
收藏
页码：146 / 149
页数：4
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