- Change Detection on Bi-temporal Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network (TGARS 2023) paper and source_code
- ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection (TGARS 2022) paper and source_code
This code has been tested on on the workstation with Intel Xeon CPU E5-2690 v4 cores and two GPUs of NVIDIA TITAN V with a single 12G of video memory, Python 3.6, pytorch 1.9, CUDA 10.0, cuDNN 7.6. Please install related libraries before running this code:
pip install -r requirements.txt
and put them into data directory.
- models code: pmgt
and put them into checkpoints directory.
python main_cd.py
python eval_cd.py
If you use ICIF-Net and DMINet in your work please cite our paper:
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BibTex：
@ARTICLE{10034787, author={Feng, Yuchao and Jiang, Jiawei and Xu, Honghui and Zheng, Jianwei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={Change Detection on Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network}, year={2023}, volume={}, number={}, pages={1-1}, doi={10.1109/TGRS.2023.3241257} }
@ARTICLE{9759285, author={Feng, Yuchao and Xu, Honghui and Jiang, Jiawei and Liu, Hao and Zheng, Jianwei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection}, year={2022}, volume={60}, number={}, pages={1-13}, doi={10.1109/TGRS.2022.3168331} }
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Plane Text：
Y. Feng, J. Jiang, H. Xu and J. Zheng, "Change Detection on Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3241257.
Y. Feng, H. Xu, J. Jiang, H. Liu and J. Zheng, "ICIF-Net: Intra-Scale Cross-Interaction and Inter-Scale Feature Fusion Network for Bitemporal Remote Sensing Images Change Detection," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 4410213, doi: 10.1109/TGRS.2022.3168331.