Distribution-Aware and Class-Adaptive Aggregation for Few-Shot Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Distribution-Aware and Class-Adaptive Aggregation for Few-Shot Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Guo Ying¹^ORCID,Fan Bin²,Feng Yan¹^ORCID,Jia Xiuping³,He Mingyi¹^ORCID

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi, China

2. School of Intelligence Science and Technology, Peking University, Beijing, China

3. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia

Funder

National Natural Science Foundation of China

Radar Signal Processing (RSP) National Key Laboratory

Shaanxi Key RD Program

China National Postdoctoral Program for Innovative Talents

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10606525.pdf?arnumber=10606525

Reference72 articles.

1. Remote sensing for mineral exploration

2. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics

3. Hyperspectral Target Detection : An Overview of Current and Future Challenges

4. Application Of Neural Networks For Classification Of Multi-source Multi-spectral Remote Sensing Data

5. Classification of multi-spectral images with neural networks using binary data;He

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