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	A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From World View-2 and LiDAR Data
	Wu, Mengfan; Zhao, Xiangwei; Sun, Zhongchang; Guo, Huadong
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2019
卷号	12期号:1页码:210-222
关键词	Deep residual network impervious surface light detection and ranging (LiDAR) multiscale Spatial Pyramid Pooling (SPP-net) super pixel WorldView-2
DOI	10.1109/JSTARS.2018.2886288
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/4542468
专题	山东大学
作者单位	Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Key Lab Digital Earth Sci, Beijing 100094, Pe
推荐引用方式 GB/T 7714	Wu, Mengfan,Zhao, Xiangwei,Sun, Zhongchang,et al. A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From World View-2 and LiDAR Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(1):210-222.
APA	Wu, Mengfan,Zhao, Xiangwei,Sun, Zhongchang,&Guo, Huadong.(2019).A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From World View-2 and LiDAR Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(1),210-222.
MLA	Wu, Mengfan,et al."A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From World View-2 and LiDAR Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.1(2019):210-222.

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