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	Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images
	Lv, ZhiYong; Li, GuangFei; Benediktsson, Jon Atli; Zhang, Zhou; Yan, JiXing
	2019
卷号	13
关键词	supervised classification limited training sample very high-spatial resolution remote sensing image contextual spatial information
ISSN号	1931-3195
DOI	10.1117/1.JRS.13.036501
URL标识	查看原文
WOS记录号	WOS:000475320800001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4968587
专题	西安理工大学
推荐引用方式 GB/T 7714	Lv, ZhiYong,Li, GuangFei,Benediktsson, Jon Atli,et al. Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images[J],2019,13.
APA	Lv, ZhiYong,Li, GuangFei,Benediktsson, Jon Atli,Zhang, Zhou,&Yan, JiXing.(2019).Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images.,13.
MLA	Lv, ZhiYong,et al."Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images".13(2019).

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