Deep learning models for change detection of remote sensing images

Change Detection Models (Remote Sensing)

Python library with Neural Networks for Change Detection based on PyTorch.

? How to use

Please refer to local_test.py temporarily.

? Models

Architectures

• [x] Unet [paper]

• [x] Unet++ [paper]

• [x] MAnet [paper]

• [x] Linknet [paper]

• [x] FPN [paper]

• [x] PSPNet [paper]

• [x] PAN [paper]

• [x] DeepLabV3 [paper]

• [x] DeepLabV3+ [paper]

• [ ] UPerNet [paper]

Encoders

The following is a list of supported encoders in the CDP. Select the appropriate family of encoders and click to expand the table and select a specific encoder and its pre-trained weights (encoder_name and encoder_weights parameters).

:truck: Dataset

• [x] LEVIR-CD
• [x] SVCD [google drive | baidu disk (x8gi)]
• [ ] ...

:page_with_curl: Citing

@misc{likyoocdp:2021,
  Author = {Kaiyu Li, Fulin Sun},
  Title = {Change Detection Pytorch},
  Year = {2021},
  Publisher = {GitHub},
  Journal = {GitHub repository},
  Howpublished = {\url{https://github.com/likyoo/change_detection.pytorch}}
}

GitHub

https://github.com/likyoo/change_detection.pytorch