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	Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification
	Xianwei Lv; Dongping Ming; YangYang Chen; Min Wang
刊名	International Journal of Remote Sensing
	2019
卷号	Vol.40 No.2页码:506-531
ISSN号	0143-1161;1366-5901
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/4741103
专题	湖南大学
作者单位	School of Information Engineering, China University of Geosciences , Beijing, China School of Information Engineering, China University of Geosciences , Beijing, China School of Information Engineering, China University of Geosciences , Beijing, China Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing, China
推荐引用方式 GB/T 7714	Xianwei Lv,Dongping Ming,YangYang Chen,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	Xianwei Lv,Dongping Ming,YangYang Chen,&Min Wang.(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	Xianwei Lv,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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