QQ客服 官方微博 反馈留言

	A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses
	Feng, Wenqing; Sui, Haigang; Tu, Jihui; Huang, Weiming; Xu, Chuan; Sun, Kaimin
刊名	REMOTE SENSING
	2018
卷号	10期号:7
关键词	change detection segmentation scale features neighborhood correlation image analyses rotation forest majority voting
ISSN号	2072-4292
DOI	10.3390/rs10071015
URL标识	查看原文
收录类别	SCIE ; SSCI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4136448
专题	武汉大学
推荐引用方式 GB/T 7714	Feng, Wenqing,Sui, Haigang,Tu, Jihui,et al. A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses[J]. REMOTE SENSING,2018,10(7).
APA	Feng, Wenqing,Sui, Haigang,Tu, Jihui,Huang, Weiming,Xu, Chuan,&Sun, Kaimin.(2018).A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses.REMOTE SENSING,10(7).
MLA	Feng, Wenqing,et al."A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses".REMOTE SENSING 10.7(2018).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。