Analysis of decomposition methods for classification of land-cover targets based on RISAT-1 Hybrid SAR images

被引：0
|
作者：
De, Atasi [1 ]
Kumar, Dheeraj [1 ]
Patel, Parul [2 ]
机构：
[1] Indian Sch Mines, Indian Inst Technol, Dept Min Engn, Dhanbad 826004, Bihar, India
[2] ISRO, Space Applicat Ctr, Planning & Projects Grp, Ahmadabad 380015, Gujarat, India
来源：
2018 3RD INTERNATIONAL CONFERENCE ON MICROWAVE AND PHOTONICS (ICMAP) | 2018年
关键词：
SAR; Hybrid Polarimetry; Stokes parameters; decomposition methods; RISAT-1; land-cover features;
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：
The objective of this paper study delineates the m-delta and m-chi space decomposition methods to determine the behaviour of scattering mechanisms in terms of odd bounce, even bounce and volume component for detection of crops and other land cover targets over parts of Burdwan, West Bengal using hybrid SAR images of India's first microwave Radar Imaging Satellite-1 (RISAT-1). It is observed that volume component is similar in both the decompositions. However, this component is over-estimated as compared to odd and even bounce scattering mechanisms for all land cover targets. The supervised maximum likelihood classification has been performed in this paper.
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页数：2
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