- Titel:
Improving Semantic Segmentation of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery
- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Faltermeier, Florian L. ; Krapf, Sebastian ; Willenborg, Bruno ; Kolbe, Thomas H.
- Stichworte:
- Article ; CityGML ; 3D city models ; aerial images ; remote sensing ; dataset ; labeling ; roof segments ; solar potential ; computer vision ; deep learning ; convolutional neural network
- Zeitschriftentitel:
- Remote Sensing
- Jahr:
- 2023
- Band / Volume:
- 15
- Heft / Issue:
- 7
- Volltext / DOI:
- doi:10.3390/rs15071931
- Verlag / Institution:
- MDPI
- E-ISSN:
- 2072-4292
- Publikationsdatum:
- 04.04.2023
- CC-Lizenz:
- by, https://creativecommons.org/licenses/by/4.0
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