Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection

Qipeng Mei, Dimitri Bulatov, Dorota Iwaszczuk

2025

Abstract

This study presents a novel approach for roof detail extraction and vectorization using remote sensing images. Unlike previous geometric-primitive-based methods that rely on the detection of corners, our method focuses on edge detection as the primary mechanism for roof reconstruction, while utilizing geometric relationships to define corners and faces. We adapt the YOLOv8 OBB model, originally designed for rotated object detection, to extract roof edges effectively. Our method demonstrates robustness against noise and occlusion, leading to precise vectorized representations of building roofs. Experiments conducted on the SGA and Melville datasets highlight the method’s effectiveness. At the raster level, our model outperforms the state-of-the-art foundation segmentation model (SAM), achieving a mIoU between 0.85 and 1 for most samples and an ovIoU close to 0.97. At the vector level, evaluation using the Hausdorff distance, PolyS metric, and our raster-vector-metric demonstrates significant improvements after polygonization, with a close approximation to the reference data. The method successfully handles diverse roof structures and refines edge gaps, even on complex roof structures of new, excluded from training datasets. Our findings underscore the potential of this approach to address challenges in automatic roof structure vectorization, supporting various applications such as urban terrain reconstruction.

Paper Citation

in Harvard Style

Mei Q., Bulatov D. and Iwaszczuk D. (2025). Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 39-49. DOI: 10.5220/0013130400003912

in Bibtex Style

@conference{visapp25,
author={Qipeng Mei and Dimitri Bulatov and Dorota Iwaszczuk},
title={Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={39-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013130400003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
SN - 978-989-758-728-3
AU - Mei Q.
AU - Bulatov D.
AU - Iwaszczuk D.
PY - 2025
SP - 39
EP - 49
DO - 10.5220/0013130400003912
PB - SciTePress