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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-4-2024
https://doi.org/10.5194/isprs-annals-X-4-2024-141-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-4-2024-141-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Oct 2024
| 18 Oct 2024
Semantic Segmentation Uncertainty Assessment of Different U-net Architectures for Extracting Building Footprints
Ehsan Haghighi Gashti
GIS Department, School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran
Mahmoud Reza Delavar
Centre of Excellence in Geomatic Eng. in Disaster Management, and Land Administration in Smart City Lab., School of Surveying and Geospatial Eng., College of Engineering, University of Tehran, Tehran, Iran
Haiyan Guan
School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Jonathan Li
Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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