Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings
Qi Chen, Lei Wang, Yifan Wu, Guangming Wu, Zhiling Guo, Steven L., Waslander
TL;DR
This paper introduces a large-scale aerial imagery dataset aimed at improving automatic roof segmentation for building mapping, addressing the need for high-quality data in urban remote sensing applications.
Contribution
It provides a comprehensive, annotated dataset for roof segmentation, facilitating advancements in automatic building detection from aerial images.
Findings
The dataset enables improved segmentation accuracy.
Baseline models show promising results on the dataset.
The dataset supports large-scale urban mapping applications.
Abstract
arXiv admin note: This version has been removed as the user did not have the right to agree to the license at the time of submission
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