Classification of High-Resolution Remote Sensing Images in the Feilaixia Reservoir Based on a Fully Convolutional Network
文献类型:期刊论文
作者 | Wu, Pinghao2,3,4; Zhong, Kaiwen1,2; Hu, Hongda2,5; Xu, Jianhui2,5; Wang, Yunpeng3; Zhao, Yi2,3,4 |
刊名 | IEEE ACCESS
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出版日期 | 2020 |
卷号 | 8页码:161752-161764 |
ISSN号 | 2169-3536 |
DOI | 10.1109/ACCESS.2020.3021071 |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
语种 | 英语 |
WOS记录号 | WOS:000570086900001 |
源URL | [http://ir.gig.ac.cn/handle/344008/57734] ![]() |
专题 | 中国科学院广州地球化学研究所 |
通讯作者 | Zhong, Kaiwen |
作者单位 | 1.Guangdong Nat Resources Sci & Technol Collaborat, Guangzhou 510070, Peoples R China 2.Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 5.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Pinghao,Zhong, Kaiwen,Hu, Hongda,et al. Classification of High-Resolution Remote Sensing Images in the Feilaixia Reservoir Based on a Fully Convolutional Network[J]. IEEE ACCESS,2020,8:161752-161764. |
APA | Wu, Pinghao,Zhong, Kaiwen,Hu, Hongda,Xu, Jianhui,Wang, Yunpeng,&Zhao, Yi.(2020).Classification of High-Resolution Remote Sensing Images in the Feilaixia Reservoir Based on a Fully Convolutional Network.IEEE ACCESS,8,161752-161764. |
MLA | Wu, Pinghao,et al."Classification of High-Resolution Remote Sensing Images in the Feilaixia Reservoir Based on a Fully Convolutional Network".IEEE ACCESS 8(2020):161752-161764. |
入库方式: OAI收割
来源:广州地球化学研究所
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