Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model

arXiv:2310.16717v3 Announce Type: replace
Abstract: More accurate extraction of invisible building footprints from very-high-resolution (VHR) aerial images relies on roof segmentation and roof-to-footprint offset extraction. Existing state-of-the-art methods based on instance segmentation suffer from poor generalization when extended to large-scale data production and fail to achieve low-cost human interactive annotation. The latest prompt paradigms inspire us to design a promptable framework for roof and offset extraction, which transforms end-to-end algorithms into promptable methods. Within this framework, we propose a novel …

aerial arxiv building cs.cv extraction images prompt type