Classification of RISAT-1 Hybrid Polarimetric Data for Various Land Features

被引：0
|
作者：
Turkar, Varsha [1 ]
De, Shaunak [1 ]
Ponnurangam, G. G. [1 ]
Deo, Rinki [1 ]
Rao, Y. S. [1 ]
Das, Anup [2 ]
机构：
[1] Indian Inst Technol, CSRE, Bombay 400076, Maharashtra, India
[2] Ctr Space Applicat, ISRO, Ahmadabad 380015, Gujarat, India
来源：
CONFERENCE PROCEEDINGS OF 2013 ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR) | 2013年
关键词：
SAR DATA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Mean and standard deviation of backscattering coefficients (sigma(0)) of RISAT-1 data acquired over Mumbai in hybrid and linear dual polarizations have been analysed for various land features. Classification accuracy between RISAT-1 hybrid polarimetric data and RADARSAT-2 simulated hybrid polarimetric data has been compared. Wishart supervised and Support Vector Machine (SVM) classifiers are used for this study. It has been observed that the classification accuracy can be improved by using m-delta or m-chi decomposition along with Circular Polarization Ratio (CPR) and SPAN of hybrid polarimetric data.
引用
收藏
页码：494 / 497
页数：4
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