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	GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data
	Sukawattanavijit, Chanika; Chen, Jie; Zhang, Hongsheng
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2017
卷号	14页码:284-288
关键词	Genetic algorithms (GAs) image fusion land-cover classification multisource data optical imagery support vector machine (SVM) synthetic aperture radar (SAR)
ISSN号	1545-598X
DOI	10.1109/LGRS.2016.2628406
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000395908600002
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5941312
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Sukawattanavijit, Chanika,Chen, Jie,Zhang, Hongsheng. GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14:284-288.
APA	Sukawattanavijit, Chanika,Chen, Jie,&Zhang, Hongsheng.(2017).GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14,284-288.
MLA	Sukawattanavijit, Chanika,et al."GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14(2017):284-288.

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