Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images (vol 61, 4703912, 2023)
文献类型:期刊论文
作者 | Huang, Yaohuan1,2; Wu, Chengbin1,2 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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出版日期 | 2023 |
卷号 | 61页码:1 |
ISSN号 | 0196-2892 |
通讯作者 | Wu, Chengbin(wucb@lreis.ac.cn) |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100301] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010203] ; National Key Research and Development Program of China[2021YFC3002103] ; National Key Research and Development Program of China[2016YFC0401404] ; National Natural Science Foundation of China[42071136] |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001150366700001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/203112] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Wu, Chengbin |
作者单位 | 1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Yaohuan,Wu, Chengbin. Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images (vol 61, 4703912, 2023)[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:1. |
APA | Huang, Yaohuan,&Wu, Chengbin.(2023).Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images (vol 61, 4703912, 2023).IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,1. |
MLA | Huang, Yaohuan,et al."Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images (vol 61, 4703912, 2023)".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):1. |
入库方式: OAI收割
来源:地理科学与资源研究所
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