北京测绘2025，Vol.39Issue(8)：1104-1109,6.DOI:10.19580/j.cnki.1007-3000.2025.08.003
无人机影像解译建筑物的聚合方法
Aggregation method for building interpretation from UAV imagery
摘要
Abstract
Abstruct:With the acceleration of urbanization,the efficient collection and timely updating of building data has become a key task in the field of surveying and geographic information.Based on unmanned aerial vehicle(UAV)imagery interpretation and mapping,this method is gradually becoming an important approach for map production.With the help of artificial intelligence image interpretation technology,a high level of automation has been achieved.However,to meet the expression requirements at different scales,subsequent processing still relies on map generalization methods.This paper proposed a building aggregation algorithm based on Delaunay triangulation for rough vector data generated from UAV imagery recognition.The algorithm integrated polygon merging and boundary simplification techniques,which standardized rough data sources from UAV interpretation.It can merge and reconstruct irregularly segmented buildings and carry out cross-feature processing of building clusters on both sides of roads,meeting the needs of multi-scale building data storage and updating.关键词
无人机影像数据/建筑物综合/多边形聚合/Delaunay三角网/跨尺度综合Key words
UAV image data/building generalization/polygon aggregation/Delaunay triangular mesh/cross-scale generalization分类
天文与地球科学引用本文复制引用
任毅,吕翔,余俊波..无人机影像解译建筑物的聚合方法[J].北京测绘,2025,39(8):1104-1109,6.基金项目
国家自然科学基金(42394065) （42394065）
