中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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