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Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

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# ATL-SST: Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

# [2025] Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification

## This demo is associated with [Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification](https://arxiv.org/abs/2411.18115), Submitted for publication.

![SST-ATL](https://github.com/user-attachments/assets/4915b3c9-f8ec-440a-8d74-38dcf02ea6bc)

# Hyperspectral datasets

# Several public hyperspectral datasets are available on the [EHU](https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes), [WHU](https://rsidea.whu.edu.cn/resource_WHUHi_sharing.htm), and [QHU](https://rsidea.whu.edu.cn/resource_WHUHi_sharing.htm). User can download these beforehand.

An example dataset folder has the following structure:
```
Datasets
├── WHU-Hi-HanChuan
│   ├── HC.mat
│   └── HC_gt.mat
├── WHU-Hi-HongHu
│   ├── HH.mat
│   └── HH_gt.mat
├── QUH-Qingyun 
│   ├── QUH.mat
│   └── QUH_gt.mat
├── Salinas 
│   ├── SA.mat
│   └── SA_gt.mat
├── University of Houston
│   ├── UH.mat
│   └── UH_gt.mat
├── Pavia University
│   ├── PU.mat
│   └── PU_gt.mat

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