Cross-Domain Few-Shot Learning Based on Graph Convolution Contrast for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Cross-Domain Few-Shot Learning Based on Graph Convolution Contrast for Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ye Zhen¹^ORCID,Wang Jie¹^ORCID,Sun Tao¹,Zhang Jinxin²^ORCID,Li Wei²^ORCID

Affiliation:

1. School of Electronics and Control Engineering, Chang’an University, Xi’an, China

2. School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10387502.pdf?arnumber=10387502

Reference40 articles.

1. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

2. Classification Based on 3-D DWT and Decision Fusion for Hyperspectral Image Analysis

3. The Advanced Hyperspectral Imager: Aboard China's GaoFen-5 Satellite

4. Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

5. Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

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