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	Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification
	Lv, Zhiyong; Zhang, Penglin; Benediktsson, Jon Atli
刊名	REMOTE SENSING
	2017
卷号	9期号:3
关键词	spatial-spectral feature very high spatial resolution image classification Tobler's First Law of Geography
ISSN号	2072-4292
DOI	10.3390/rs9030285
URL标识	查看原文
收录类别	SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4044201
专题	武汉大学
推荐引用方式 GB/T 7714	Lv, Zhiyong,Zhang, Penglin,Benediktsson, Jon Atli. Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification[J]. REMOTE SENSING,2017,9(3).
APA	Lv, Zhiyong,Zhang, Penglin,&Benediktsson, Jon Atli.(2017).Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification.REMOTE SENSING,9(3).
MLA	Lv, Zhiyong,et al."Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification".REMOTE SENSING 9.3(2017).

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