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Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
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Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
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Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
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Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
Automatic extraction of footprints of buildings from orthophotos is a challenge in the field of remote sensing data processing. The combination of image classification and object localization tasks in this research aims to develop a new model based on ResUNet and the YOLO algorithm. By applying the proposed model and publicly available data, a high level of building extraction success of 89% is achieved. Although there is potential to improve the results by introducing other types of data, the integration of these models represents a significant step towards improving the technology of automatic extraction of buildings from orthophotos.
This research has been supported by the Ministry of Science, Technological Development and Innovation (Contract No. 451-03-65/2024-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad” (No. 01-3394/1).
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