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Hyperspectral Image Classification
PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."
Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing…
Mixed 2D/3D Convolutional Network for Hyperspectral Image Super-Resolution
Noisy Label Robust Hyperspectral Image Classification
Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.
stc-cqupt / Awesome-Remote-Sensing-Foundation-Models
Forked from Jack-bo1220/Awesome-Remote-Sensing-Foundation-ModelsInvestigating Split Learning and Federate Learning
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
A federated image segmentation method based on style transfer
The open-source code of our paper: ''Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data'', accepted by IEEE TMC.
AAAI'24 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021
[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'
Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels
LCFE-X: Pluggable Local Channel Feature Extraction Model Enhancement Method for Hyperspectral Image Classification
The repository contains the implementations for Coupled Adversarial Learning for Fusion Classification of Hyperspectral and LiDAR Data