|
|
|
||||||||||||
|
|||||||||||||||
|
|
|
WUSU: Multi-temporal Wuhan urban semantic understanding dataset for
classification and change detection based on GF-2 remote sensing imagery |
||||||||||||||||||||||||||||||||||||||||
|
|
||||||||||||||||||||||||||||||||||||||||
|
Abstract
WUSU (Wuhan Urban Semantic Understanding) dataset is collected and shared by the RSIDEA research group of Wuhan University, and it could serve as a benchmark dataset for multi-temporal classification and semantic change detection studies. WUSU focuses on urban structure and the urbanization process in Wuhan, the main city of the Yangtze River Economic Belt, and covers key development areas including Jiang'an District and Hongshan District, spanning a total geographic area of nearly 80km2 The dataset includes high resolution, tri-temporal, and multi-spectral satellite images of these districts, offering unprecedented detail and continuity in the representation of urban changes. 1.The WUSU dataset 1.1 Image pre-processing The images in this dataset were obtained from GF-2 satellite imagery and were selected with a maximum cloud cover of 5%. These images then underwent several pre-processing steps, including PAN and MSS image orthographic correction and image pan sharpening. Multi-temporal image registration was also performed to ensure suitability for change detection tasks, with a requirement that the root-mean-square error (RMSE) was less than 1 pixel. The result of this process was a set of 4-band fusion satellite images with a spatial resolution of 1 meter, providing a high-resolution view of the study areas. 1.2 Label generation The WUSU dataset adopts the Chinese Land Use Classification Criteria (GB/T21010-2017) and the Contents and Indicators of the Chinese Geographical Conditions Census (GDPJ 01-2013). An overview of this dataset is provided in Fig. 1 and Table. 1.
1.3 Download We provide download links of the WUSU dataset on Baidu Drive and Google Drive. We hope you can fill in a simple questionnaire before downloading, which will appear after clicking the following link: Download 3.Copyright The copyright belongs to Intelligent Data Extraction, Analysis and Applications of Remote Sensing(RSIDEA) academic research group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University. The WUSU dataset can be used for academic purposes only and need to cite the following paper, but any commercial use is prohibited. Otherwise, RSIDEA of Wuhan University reserves the right to pursue legal responsibility. Reference: [1] Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang & Deren Li (2023) Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping, International Journal of Digital Earth, 16:1, 3321-3347, DOI: 10.1080/17538947.2023.2246445 (https://www.tandfonline.com/doi/full/10.1080/17538947.2023.2246445) 4.Contact If you have any the problem or feedback in using WUSU dataset, please contact: Ms. Sunan Shi: [email protected] Prof. Yanfei Zhong: [email protected] |
|
