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Articles | Volume 3
Articles | Volume 3
Abstr. Int. Cartogr. Assoc., 3, 105, 2021
https://doi.org/10.5194/ica-abs-3-105-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Abstr. Int. Cartogr. Assoc., 3, 105, 2021
https://doi.org/10.5194/ica-abs-3-105-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 3

  13 Dec 2021

13 Dec 2021

Waterloo Building Dataset: A large-scale very-high-spatial-resolution image dataset for building rooftop extraction

Hongjie He, Zijian Jiang, Weikai Tan, Yuwei Cai, Sarah Narges Fatholahi, Kyle Gao, Hongzhang Xu, Bingxu Hu, Liyuan Qing, and Jonathan Li Hongjie He et al.
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  • Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada

Keywords: Waterloo building dataset, Very-high-spatial-resolution images, Building rooftop extraction

How to cite. He, H., Jiang, Z., Tan, W., Cai, Y., Fatholahi, S. N., Gao, K., Xu, H., Hu, B., Qing, L., and Li, J.: Waterloo Building Dataset: A large-scale very-high-spatial-resolution image dataset for building rooftop extraction, Abstr. Int. Cartogr. Assoc., 3, 105, https://doi.org/10.5194/ica-abs-3-105-2021, 2021.
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