Crop Classification using RISAT-1 Hybrid Polarimetric SAR Data

被引：0
|
作者：
De, Shaunak [1 ]
Kumar, Vineet [1 ]
Rao, Y. S. [1 ]
机构：
[1] Indian Inst Technol, CSRE, Bombay, Maharashtra, India
来源：
10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014) | 2014年
关键词：
COMPACT;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
With the availability of high resolution hybrid polarimetric data from the Indian RISAT-1 and planned SAR systems supporting hybrid polarimetric mode, researchers are actively exploring the capabilities of hybrid polarimetric mode for various applications. In this paper we have analysed the scattering mechanism of different land-covers and crop types using the m-chi decomposition and performed supervised Wishart classification. Hybrid polarimetric data from RISAT-1 is found to be suitable for crop classification as major crops are well distinguished. An overall classification accuracy of 81% and 87% is obtained using May and Nov. 2013 data respectively.
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页数：4
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