Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images
This is a PyTorch/GPU implementation of the paper Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images:
@ARTICLE{pu2024adversarial,
author={Pu, Yan and Gong, Maoguo and Liu, Tongfei and Zhang, Mingyang and Gao, Tianqi and Jiang, Fenlong and Hu, Xiaobo},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images},
year={2024},
volume={62},
number={},
pages={1-17},
- python 3.7.16
- torch 1.13.1
- torchvision 0.14.1
- opencv 4.7.0.72
- numpy 1.21.5
- pandas 1.3.5
| Multimodal Dataset | Download Link | Source |
|---|---|---|
| MT-Wuhan | Download | Paper |
| MT-HTCD | Download | Paper |
For convenience, our pre-trained models can be downloaded directly here:
| Model | Dataset | F1-Score | Params |
|---|---|---|---|
| G_model | MT-Wuhan | 60.03 | 297.8M |
| D_model | MT-Wuhan | 60.03 | 11.7M |
| G_model | MT-HTCD | 97.15 | 297.8M |
| D_model | MT-HTCD | 97.15 | 11.7M |
python main.py