International Conference on Transportation and Development 2020
A Satellite Image Dataset on Transportation Hubs and Passenger Flow Related Land-Use Types
Publication: International Conference on Transportation and Development 2020
ABSTRACT
Recent years have seen satellite technology progressed significantly, which enables free and efficient access to the latest satellite images in most urban areas throughout the world. Based on the existing research, this study establishes a remote sensing image dataset of China transportation hubs and land-use types within their passenger attraction range. The dataset contains 5 transportation hubs and 16 land-use child classes which are divided from eight parent categories. There are 300 images in each class for a total of 6,300. Compared with traditional remote sensing image dataset, the proposed one is mainly applied to identify and estimate passenger flow volume generated by transportation hubs in China. Therefore, the hubs and land-use categories that are closely related to passenger flow are selected. This dataset will provide data support for further development of passenger density assessment methods based on remote sensing images.
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Published In
International Conference on Transportation and Development 2020
Pages: 259 - 271
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8313-8
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Aug 31, 2020
Published in print: Aug 31, 2020
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