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	Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification
	Lv, Xianwei; Ming, Dongping; Chen, YangYang; Wang, Min
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	Vol.40 No.2页码:506-531
ISSN号	0143-1161
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4744125
专题	湖南大学
作者单位	1.China Univ Geosci Beijing, Sch Informat Engn, 29 Xueyuan Rd, Beijing 100083, Peoples R China 2.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Lv, Xianwei,Ming, Dongping,Chen, YangYang,et al. Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,Vol.40 No.2:506-531.
APA	Lv, Xianwei,Ming, Dongping,Chen, YangYang,&Wang, Min.(2019).Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification.INTERNATIONAL JOURNAL OF REMOTE SENSING,Vol.40 No.2,506-531.
MLA	Lv, Xianwei,et al."Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification".INTERNATIONAL JOURNAL OF REMOTE SENSING Vol.40 No.2(2019):506-531.

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