Cross-Domain Contrastive Learning for Hyperspectral Image Classification
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong
Funder
Research Grants Council of Hong Kong
University of Hong Kong
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09779219.pdf?arnumber=9779219
Reference60 articles.
1. Hyperspectral image classification with unsupervised feature extraction
2. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network
3. Multistage Dual-Attention Guided Fusion Network for Hyperspectral Pansharpening
4. Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification
5. Deep Learning-Based Classification of Hyperspectral Data
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3. A Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification;Remote Sensing;2023-11-24
4. A Cross-Domain Semi-Supervised Zero-Shot Learning Model for the Classification of Hyperspectral Images;Journal of the Indian Society of Remote Sensing;2023-07-31
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