https://github.com/liumency/SYSU-CD

A new change detection dataset in "A Deeply-supervised Attention Metric-based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection"
https://github.com/liumency/SYSU-CD

Last synced: 3 months ago
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A new change detection dataset in "A Deeply-supervised Attention Metric-based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection"

• Host: GitHub
• URL: https://github.com/liumency/SYSU-CD
• Owner: liumency
• Created: 2020-09-24T07:56:47.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-07-12T15:50:15.000Z (over 2 years ago)
• Last Synced: 2024-07-22T23:49:23.975Z (4 months ago)
• Homepage:
• Size: 383 KB
• Stars: 45
• Watchers: 1
• Forks: 4
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-remote-sensing-change-detection - **SYSU-CD**

README

        
# SYSU-CD

A new change detection dataset in our recent work "[A Deeply-supervised Attention Metric-based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection](https://ieeexplore.ieee.org/document/9467555)" on [IEEE Transactions on Geoscience and Remote Sensing](https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=36).




## Description

- The dataset contains 20000 pairs of 0.5-m aerial images of size 256×256 taken between the years 2007 and 2014 in Hong Kong. 

- The main types of changes in the dataset include: (a) newly built urban buildings; (b) suburban dilation; (c) groundwork before construction; (d) change of vegetation; (e) road expansion; (f) sea construction.

   ![dataset](images/dataset.jpg)

- Comparisons to existing change detection datasets 

   

   ![datasets](images/datasets.jpg)




## Experiments

### Method: DSAMNet([Code](https://github.com/liumency/DSAMNet) available)

   ![model](images/model.jpg)

### Result

   ![result](images/result.jpg)

   




## Download

- [BaiduYun](https://pan.baidu.com/s/15lQPG_hXZbLp91VywwcT7Q) (mlls)

- [OneDrive](https://mail2sysueducn-my.sharepoint.com/:f:/g/personal/liumx23_mail2_sysu_edu_cn/Emgc0jtEcshAnRkgq1ZTE9AB-kfXzSEzU_PAQ-5YF8Neaw?e=IhVeeZ)




## Citation

If you find our work useful for your research, please consider citing our paper:

```

@ARTICLE{shi21deeply,

  author={Shi, Qian and Liu, Mengxi and Li, Shengchen and Liu, Xiaoping and Wang, Fei and Zhang, Liangpei},

  journal={IEEE Transactions on Geoscience and Remote Sensing}, 

  title={A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection}, 

  year={2021},

  volume={},

  number={},

  pages={1-16},

  doi={10.1109/TGRS.2021.3085870}}

```