https://github.com/Daisy-7/Hi-UCD-S

A dataset for deep learning based urban semantic chang detection.
https://github.com/Daisy-7/Hi-UCD-S

Last synced: about 2 months ago
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A dataset for deep learning based urban semantic chang detection.

• Host: GitHub
• URL: https://github.com/Daisy-7/Hi-UCD-S
• Owner: Daisy-7
• Created: 2022-05-09T06:04:58.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-13T05:27:51.000Z (about 1 year ago)
• Last Synced: 2024-04-18T23:11:56.469Z (5 months ago)
• Size: 2.04 MB
• Stars: 25
• Watchers: 5
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-remote-sensing-change-detection - **Hi-UCD**

README

        
# Hi-UCD Series Dataset

Hi-UCD (ultra-High Urban Change Detection) series datasets are designed for deep learning based urban semantic change detection.

## News

- 2023/9/10 Hi-UCD mini is released.

## Hi-UCD mini

[`Paper`](https://arxiv.org/abs/2011.03247) [`Data`](https://drive.google.com/drive/folders/1fzAn4Bez_S6KX83iYABjAlASCzzhRJPQ?usp=sharing)

![Examples for Hi-UCD mini dataset](./picture/Hi-UCD%20mini.png)

The Hi-UCD mini dataset can be download through the Google Drive link.

Please submit a download request through the link and I will process your request as soon as possible.

## Hi-UCD 

[`paper`](https://www.sciencedirect.com/science/article/abs/pii/S0924271622002210)

![Hi-UCD dataset](./picture/Hi-UCD.png)

![public dataset](./picture/public%20dataset.png)

Hi-UCD dataset is comming soon.

## Citation

If you use Hi-UCD series dataset in your research, please cite our papers as follows:

```

@article{tian2020hi,

  title={Hi-UCD: A large-scale dataset for urban semantic change detection in remote sensing imagery},

  author={Tian, Shiqi and Ma, Ailong and Zheng, Zhuo and Zhong, Yanfei},

  journal={arXiv preprint arXiv:2011.03247},

  year={2020}

}

@article{tian2022large,

  title={Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application},

  author={Tian, Shiqi and Zhong, Yanfei and Zheng, Zhuo and Ma, Ailong and Tan, Xicheng and Zhang, Liangpei},

  journal={ISPRS Journal of Photogrammetry and Remote Sensing},

  volume={193},

  pages={164--186},

  year={2022},

  publisher={Elsevier}

}

@article{zheng2022changemask,

  title={ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection},

  author={Zheng, Zhuo and Zhong, Yanfei and Tian, Shiqi and Ma, Ailong and Zhang, Liangpei},

  journal={ISPRS Journal of Photogrammetry and Remote Sensing},

  volume={183},

  pages={228--239},

  year={2022},

  publisher={Elsevier}

}

```

## License

The use of Hi-UCD series datset must follow the [licence of open data by Estonian Land Board](https://geoportaal.maaamet.ee/docs/Avaandmed/Licence-of-open-data-of-Estonian-Land-Board.pdf).

Hi-UCD seriers dataset can be used for academic purpose only, **but any commercial use is prohibited**.