Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification

Author:

Xi Bobo1ORCID,Li Jiaojiao1ORCID,Li Yunsong1ORCID,Song Rui1ORCID,Hong Danfeng2ORCID,Chanussot Jocelyn3ORCID

Affiliation:

1. State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China

2. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. GIPSA-Laboratory, CNRS, Grenoble INP, Université Grenoble Alpes, Grenoble, France

Funder

National Natural Science Foundation of China

State Key Laboratory of Geo-Information Engineering

Science and Technology on Space Intelligent Control Laboratory

China Postdoctoral Science Special Foundation

Higher Education Discipline Innovation Project

Wuhu and Xidian University Special Fund for Industry-University-Research Cooperation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

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3. Cross Modal Few Shot Learning for Tree Species Classification Using Airborne Hyperspectral Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Cross-Domain Few-Shot Hyperspectral Image Classification with Bias Diminishing and Domain Bridging;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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