Few-Shot Multispectral-Hyperspectral Image Collaborative Classification With Feature Distribution Enhancement and Subdomain Alignment
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
2. School of Management, Heilongjiang Institute of Technology, Harbin, China
Funder
Youth Science Foundation Project of National Natural Science Foundation of China
Key Research and Development Program of Heilongjiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10387265.pdf?arnumber=10387265
Reference43 articles.
1. Monitoring of Wheat Powdery Mildew Disease Severity Using Multiangle Hyperspectral Remote Sensing
2. Multiple Kernel Learning for Hyperspectral Image Classification: A Review
3. An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images
4. A Hybrid Sparsity and Distance-Based Discrimination Detector for Hyperspectral Images
5. Unsupervised Change Detection by Cross-Resolution Difference Learning
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. Cross-Domain Few-Shot Learning Based on Feature Disentanglement for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Classwise Prototype-Guided Alignment Network for Cross-Scene Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024
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