Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

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作者： Danfeng,Hong ^[1] ; Jingliang,Hu ^[2] ; Jing,Yao ^[3] ; Jocelyn,Chanussot ^[4] ; Xiao Xiang,Zhu ^[3]

作者单位： Remote Sensing Technology Institute, German Aerospace Center, 82234 Wessling, Germany. ^[1] Data Science in Earth Observation, Technical University of Munich, 80333 Munich, Germany. ^[2] Aerospace Information Research Institute, Chinese Academy of Sciences, 100094 Beijing, China. ^[3] Univ. Grenoble Alpes, INRIA, CNRS, Grenoble INP, LJK, 38000 Grenoble, France. ^[4]

关键词 Benchmark datasets Classification DSM Feature learning Hyperspectral Land cover mapping Multimodal Multispectral Remote sensing SAR Shared features Specific features

DOI 10.1016/j.isprsjprs.2021.05.011

PMID 34433999

发布时间 2021-08-27

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ISPRS journal of photogrammetry and remote sensing

2021年178卷

68-80页

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Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

ISPRS journal of photogrammetry and remote sensing

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Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

ISPRS journal of photogrammetry and remote sensing

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ISPRS journal of photogrammetry and remote sensing

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