Road change detection dataset

UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images

CRCD Dataset and WRCD Dataset

Introduction

We manually annotated two road change detection datasets to evaluate the performance of road change detection and road update algorithms. The first dataset is located in Christchurch, New Zealand, and named the Christchurch Road Change Detection (CRCD) dataset. The bi-temporal remote sensing images in the CRCD dataset were collected in the year 2012 and 2016 and were downloaded from website http://study.rsgis.whu.edu.cn/pages/download/building\_dataset.html. The second dataset we manually annotated is located in Jiangxia District, Wuhan, China, and named the Wuhan Road Change Detection (WRCD) dataset. We downloaded the remote sensing images of the WRCD dataset in the year of 2012, 2014, and 2016 from Google Earth. We manually annotated the roads and road changes in the CRCD dataset and the WRCD dataset to train and test road change detection and road update algorithms. An illustration of the WRCD and the CRCD datasets are shown in the following figure.

介绍

我们手动标注了两套道路变化检测与更新数据集，以评估基于多时相遥感影像的道路变化检测与更新方法的性能。第一个数据集位于新西兰基督城，命名为基督城道路变化检测 (Christchurch Road Change Detection, CRCD) 数据集。 CRCD数据集中的双时相遥感影像是下载于网站http://study.rsgis.whu.edu.cn/pages/download/building_dataset.html 的航空影像，采集时间分别为2012年和2016年。第二套数据集位于中国武汉市的江夏区，命名为武汉道路变化检测 (Wuhan Road Change Detection, WRCD) 数据集。WRCD数据集的遥感影像是从 Google Earth上下载的17级遥感影像，获取时间为 2012、2014 和 2016 年。WRCD 和 CRCD 数据集的详细介绍如下图所示。

Download

[Baidu Netdisk](https://pan.baidu.com/s/13OKNkuny7gVsJaeRdJCL1w?pwd=e6s0, password: 06aa

License

This dataset is available for non-commercial scientific research purposes under GNU General Public License v3.0. By downloading and using this dataset you agree to the terms in the LICENSE.

Citation

If you use our dataset, please consider citing our work:

[1] Zhou, M., Sui, H., Chen, S., Chen, X., Wang, W., Wang, J. and Liu, J., 2022. UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images. IEEE Transactions on Intelligent Transportation Systems, 23(11), pp.21465-21477.

@article{zhou2022ugroadupd,
  title={UGRoadUpd: An Unchanged-Guided Historical Road Database Updating Framework Based on Bi-Temporal Remote Sensing Images},
  author={Zhou, Mingting and Sui, Haigang and Chen, Shanxiong and Chen, Xu and Wang, Wenqing and Wang, Jianxun and Liu, Junyi},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={23},
  number={11},
  pages={21465--21477},
  year={2022},
  publisher={IEEE}
}