WISHART SUPERVISED CLASSIFICATION RESULTS OF C-BAND POLARIMETRIC GB-SAR IMAGE DATA

被引：5
|
作者：
Kang, Moon-Kyung [1 ]
Kim, Kwang-Eun [1 ]
Cho, Seong-Jun [1 ]
Lee, Hoonyol [2 ]
Lee, Jae-Hee [1 ]
机构：
[1] Korea Inst Geosci & Mineral Resources, Taejon, South Korea
[2] Kangwon Natl Univ, Chunchon, South Korea
来源：
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词：
GB-SAR; polarimetric SAR; Wisahrt supervised classification;
D O I：
10.1109/IGARSS.2011.6049164
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 is a classification and analysis of a fully polarimetric ground based synthetic aperture radar (GB-SAR) image to discriminate the different terrain media. Wishart supervised classification method was applied to classify the fully polarimetric GB-SAR data and the refined Lee filter for reducing a speckle noise. We discussed about the classification results of the obtained GB-SAR.
引用
收藏
页码：459 / 462
页数：4
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