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Mar 28, 2022 · Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer vision technologies.
BONAI (Buildings in Off-Nadir Aerial Images) is a dataset for building footprint extraction (BFE) in off-nadir aerial images.
In this paper, we propose an offset vector learning scheme, which turns the building footprint extraction problem in off-nadir images into an instance-level ...
An offset vector learning scheme is proposed, which turns the building footprint extraction problem in off-nadir images into an instance-level joint ...
View recent discussion. Abstract: Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer ...
Aug 16, 2024 · Building Footprint Extraction (BFE) from off-nadir aerial images often involves roof segmentation and offset prediction to adjust roof ...
Aug 16, 2024 · LOFT leverages an offset Region of Interest (ROI) head to extract roof-to-footprint offsets for each instance building nominated by Region ...
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In this paper, we propose an offset vector learning scheme, which turns the building footprint extraction problem in off-nadir images into an instance-level ...
Oct 26, 2022 · In order to see buildings in enough detail to extract accurate footprints, the resolution of the imagery must be relatively high: typically <= ...