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AttentionGAN-for-Cloud-removal-master.zip
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基于注意机制的GAN用于SAR和光学图像去云

资源文件列表(大概)

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AttentionGAN-for-Cloud-removal-master/
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AttentionGAN-for-Cloud-removal-master/README.md
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AttentionGAN-for-Cloud-removal-master/data/
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AttentionGAN-for-Cloud-removal-master/data/__init__.py
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/__init__.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/aligned_dataset.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/base_data_loader.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/custom_dataset_data_loader.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/unaligned_dataset.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/unaligned_dataset.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/unaligned_dataset3.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/unaligned_dataset_sar.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/data/__pycache__/unaligned_dataset_sar.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/data/aligned_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/aligned_random_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/base_data_loader.py
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AttentionGAN-for-Cloud-removal-master/data/base_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/base_dataset.pyc
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AttentionGAN-for-Cloud-removal-master/data/coco_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/cocoseg_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/custom_dataset_data_loader.py
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AttentionGAN-for-Cloud-removal-master/data/data_loader.py
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AttentionGAN-for-Cloud-removal-master/data/data_loader.pyc
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AttentionGAN-for-Cloud-removal-master/data/image_folder.py
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AttentionGAN-for-Cloud-removal-master/data/image_folder.pyc
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AttentionGAN-for-Cloud-removal-master/data/single_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/unaligned_dataset.py
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AttentionGAN-for-Cloud-removal-master/data/unaligned_dataset3.py
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AttentionGAN-for-Cloud-removal-master/data/unaligned_dataset_sar.py
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AttentionGAN-for-Cloud-removal-master/environment.yaml
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AttentionGAN-for-Cloud-removal-master/fig/
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AttentionGAN-for-Cloud-removal-master/fig/pipline.png
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AttentionGAN-for-Cloud-removal-master/fig/result.png
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AttentionGAN-for-Cloud-removal-master/map.npy
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AttentionGAN-for-Cloud-removal-master/metrics.py
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AttentionGAN-for-Cloud-removal-master/models/
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AttentionGAN-for-Cloud-removal-master/models/Saroptgan.py
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AttentionGAN-for-Cloud-removal-master/models/__init__.py
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/Saroptgan.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/__init__.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/base_model.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/cycle_attn_gan_model.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/cycle_attn_gan_model_sar.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/cycle_attn_gan_model_sar2.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/cycle_gan_model.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/models.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/models.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/networks.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/networks.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_attn_model.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_attn_model.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_attn_model2.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_attn_model7.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_attn_model8.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_model.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/__pycache__/pix2pix_model3.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/models/base_model.py
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AttentionGAN-for-Cloud-removal-master/models/base_model.pyc
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AttentionGAN-for-Cloud-removal-master/models/cycle_attn_gan_model.py
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AttentionGAN-for-Cloud-removal-master/models/cycle_attn_gan_model.pyc
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AttentionGAN-for-Cloud-removal-master/models/cycle_attn_gan_model_sar.py
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AttentionGAN-for-Cloud-removal-master/models/cycle_attn_gan_model_sar2.py
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AttentionGAN-for-Cloud-removal-master/models/cycle_gan_model.py
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AttentionGAN-for-Cloud-removal-master/models/map.npy
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AttentionGAN-for-Cloud-removal-master/models/models.py
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AttentionGAN-for-Cloud-removal-master/models/models.pyc
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AttentionGAN-for-Cloud-removal-master/models/networks.py
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AttentionGAN-for-Cloud-removal-master/models/pix2pix_attn_model.py
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AttentionGAN-for-Cloud-removal-master/models/pix2pix_model.py
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AttentionGAN-for-Cloud-removal-master/models/pix2pix_model2.py
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AttentionGAN-for-Cloud-removal-master/models/pix2pix_model3.py
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AttentionGAN-for-Cloud-removal-master/models/test_model.py
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AttentionGAN-for-Cloud-removal-master/options/
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AttentionGAN-for-Cloud-removal-master/options/__pycache__/
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AttentionGAN-for-Cloud-removal-master/options/__pycache__/base_options.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/options/__pycache__/base_options.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/options/__pycache__/test_options.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/options/__pycache__/train_options.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/options/base_options.py
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AttentionGAN-for-Cloud-removal-master/options/test_options.py
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AttentionGAN-for-Cloud-removal-master/options/train_options.py
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AttentionGAN-for-Cloud-removal-master/options/train_options.pyc
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AttentionGAN-for-Cloud-removal-master/pytorch_ssim/
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AttentionGAN-for-Cloud-removal-master/pytorch_ssim/__init__.py
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AttentionGAN-for-Cloud-removal-master/pytorch_ssim/__pycache__/__init__.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/pytorch_ssim/__pycache__/__init__.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/requirements.txt
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AttentionGAN-for-Cloud-removal-master/scripts/
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AttentionGAN-for-Cloud-removal-master/scripts/test.sh
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AttentionGAN-for-Cloud-removal-master/scripts/train.sh
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AttentionGAN-for-Cloud-removal-master/test.py
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AttentionGAN-for-Cloud-removal-master/train.py
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AttentionGAN-for-Cloud-removal-master/util/
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/html.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/html.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/image_pool.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/image_pool.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/util.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/visualizer.cpython-37.pyc
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AttentionGAN-for-Cloud-removal-master/util/__pycache__/visualizer.cpython-38.pyc
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AttentionGAN-for-Cloud-removal-master/util/get_data.py
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AttentionGAN-for-Cloud-removal-master/util/html.py
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AttentionGAN-for-Cloud-removal-master/util/html.pyc
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AttentionGAN-for-Cloud-removal-master/util/image_pool.py
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AttentionGAN-for-Cloud-removal-master/util/image_pool.pyc
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AttentionGAN-for-Cloud-removal-master/util/inception_classify.py
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AttentionGAN-for-Cloud-removal-master/util/png.py
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AttentionGAN-for-Cloud-removal-master/util/util.py
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AttentionGAN-for-Cloud-removal-master/util/util.pyc
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AttentionGAN-for-Cloud-removal-master/util/visualizer.py
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资源内容介绍

这个库为我们的论文“通过基于注意机制的GAN使用SAR和光学图像去云”提供PyTorch代码。此代码基于的实现注意GAN和CycleGAN.
# Cloud removal using SAR and optical images via attention mechanism-based GANThis repository provides the PyTorch code for our paper “Cloud removal using SAR and optical images via attention mechanism-based GAN”. This code is based on the implementation of [Attention-GAN](https://github.com/xinyuanc91/Attention-GAN) and [CycleGAN](https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix). ## OverviewThe pipline of our method:![图片](/fig/pipline.png "method pipline")The result of our method:![图片](/fig/result.png "result")*Cloud removal results in the real data experiment. Each row corresponds to an example of the results. Column (a) shows the SAR images. Column (b) shows the attention map. Column (c) shows the cloud images. Columns (d) to (h) correspond to the results obtained by the pix2pix model, the SAR-opt-GAN model, the Simulation-Fusion GAN model, the GLF-CR model, and the proposed model. Column (i) shows the ground truth images.*## DataWe use part of the data from the [SEN12MS-CR dataset](https://patricktum.github.io/cloud_removal/sen12mscr/) in the paper.You should organize your data into a format like this, replacing them with the data directory in this code:```data│└───train/test│ ││ └───trainA/testA #cloud images│ │ │ 1.png│ │ │ 2.png│ │ │ ...│ ││ └───trainB/testB #cloudless images│ │ │ 1.png│ │ │ 2.png│ │ │ ...│ ││ └───trainC/testC #SAR images│ │ │ 1.png│ │ │ 2.png│ │ │ ...│ ```## EnvironmentYou can Install dependencies via:```bashconda env create --file environment.yml```## Train sh scripts/train.sh## Test sh scripts/test.sh## CitationIf you find this repository/work helpful in your research, welcome to cite the paper.```@article{zhang2023cloud, title={Cloud removal using SAR and optical images via attention mechanism-based GAN}, author={Zhang, Shuai and Li, Xiaodi and Zhou, Xingyu and Wang, Yuning and Hu, Yue}, journal={Pattern Recognition Letters}, volume={175}, pages={8--15}, year={2023}, publisher={Elsevier}}```

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