Improving Semantic Segmentation of Roof Segments Using Large-Scale Datasets Derived from 3D City Models and High-Resolution Aerial Imagery

Advances in deep learning techniques for remote sensing as well as the increased availability of high-resolution data enable the extraction of more detailed information from aerial images. One promising task is the semantic segmentation of roof segments and their orientation. However, the lack of an...

Full description

Bibliographic Details
Main Authors: Florian L. Faltermeier, Sebastian Krapf, Bruno Willenborg, Thomas H. Kolbe
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/7/1931