中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification

文献类型:期刊论文

作者Liu, Runmin;   Cai, Weiwei;   Li, Guangjun;   Ning, Xin;   Jiang, Yizhang
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
出版日期2021
卷号19页码:1-5
语种英语
公开日期2021
源URL[http://ir.semi.ac.cn/handle/172111/31030]  
专题半导体研究所_高速电路与神经网络实验室
推荐引用方式
GB/T 7714
Liu, Runmin; Cai, Weiwei; Li, Guangjun; Ning, Xin; Jiang, Yizhang. Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2021,19:1-5.
APA Liu, Runmin; Cai, Weiwei; Li, Guangjun; Ning, Xin; Jiang, Yizhang.(2021).Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,19,1-5.
MLA Liu, Runmin; Cai, Weiwei; Li, Guangjun; Ning, Xin; Jiang, Yizhang."Hybrid Dilated Convolution Guided Feature Filtering and Enhancement Strategy for Hyperspectral Image Classification".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 19(2021):1-5.

入库方式: OAI收割

来源:半导体研究所

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