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Change Detection on Bi-temporal Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network (TGARS 2023) [paper](https://ieeexplore.ieee.org/document/10034787) and [source_code](https://github.com/ZhengJianwei2/DMINet/)

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ZhengJianwei2/DMINet

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DMINet

Papers

  • 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

1. Environment setup

This code has been tested on on the workstation with Intel Xeon CPU E5-2690 v4 cores and GPUs of NVIDIA TITAN V with a single 12G of video memory, Python 3.6, pytorch 1.9, CUDA 10.0, cuDNN 7.6.

2. Download the datesets:

and put them into data directory.

3. Download the models (loading models):

and put them into checkpoints directory.

4. Train

python main_cd.py

5. Test

python eval_cd.py

6. Cite

If you use DMINet in your work please cite our paper:

  • 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} }

  • 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.

If you use ICIF-Net in your work please cite our paper:

  • BibTex:

    @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} }

  • Plane Text:

    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.

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Change Detection on Bi-temporal Remote Sensing Images using Dual-branch Multi-level Inter-temporal Network (TGARS 2023) [paper](https://ieeexplore.ieee.org/document/10034787) and [source_code](https://github.com/ZhengJianwei2/DMINet/)

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