CORC  > 中南大学
Rural Building Detection in High-Resolution Imagery Based on a Two-Stage CNN Model
Sun, Li; Tang, Yuqi*; Zhang, Liangpei
刊名IEEE Geoscience and Remote Sensing Letters
2017
卷号14期号:11页码:1998-2002
关键词Automatic village location convolutional neural network (CNN) high-resolution imagery rural building detection two-stage model
ISSN号1545-598X
DOI10.1109/LGRS.2017.2745900
URL标识查看原文
WOS记录号WOS:000413955500024;EI:20174404325345
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3343253
专题中南大学
作者单位1.[Tang, Yuqi
2.Sun, Li] Cent S Univ, Sch Geosci & Infophys, Changsha 410083, Hunan, Peoples R China.
推荐引用方式
GB/T 7714
Sun, Li,Tang, Yuqi*,Zhang, Liangpei. Rural Building Detection in High-Resolution Imagery Based on a Two-Stage CNN Model[J]. IEEE Geoscience and Remote Sensing Letters,2017,14(11):1998-2002.
APA Sun, Li,Tang, Yuqi*,&Zhang, Liangpei.(2017).Rural Building Detection in High-Resolution Imagery Based on a Two-Stage CNN Model.IEEE Geoscience and Remote Sensing Letters,14(11),1998-2002.
MLA Sun, Li,et al."Rural Building Detection in High-Resolution Imagery Based on a Two-Stage CNN Model".IEEE Geoscience and Remote Sensing Letters 14.11(2017):1998-2002.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace