One class SVM for building detection on Sentinel-2 images

M. Krupiński; S. Lewiński; R. Malinowski

doi:10.1117/12.2535547

6 November 2019 One class SVM for building detection on Sentinel-2 images

M. Krupiński, S. Lewiński, R. Malinowski

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117635 (2019) https://doi.org/10.1117/12.2535547
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

Abstract

Senitnel-2 satellites, as a part of European initiative - Copernicus - provide unique opportunity for Earth surface monitoring with high spatial, spectral and temporal resolution. Urban areas mapping is one of the domains where this kind of data may be very useful. In this research, usability of Sentinel-2 data for buildings detection has been analyzed using One-class SVM algorithm. For selected area of interest, number of issues have been analyzed, including automatic training data preparation, optimum classifier parameters and date of image acquisition selection.

Citation Download Citation

M. Krupiński, S. Lewiński, and R. Malinowski "One class SVM for building detection on Sentinel-2 images", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117635 (6 November 2019); https://doi.org/10.1117/12.2535547

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