摘要
针对现有的建筑物轮廓的优化方法通常没有考虑相邻轮廓之间的拓扑关系,导致多类别建筑物轮廓优化之后的相邻建筑物轮廓线段存在交叉的拓扑错误的问题,该文提出了一种多分类建筑物轮廓高精度优化方法。采用建筑物轮廓R-tree空间索引和分类优化的方法,实现对不同类别的建筑物轮廓快速优化并保持轮廓之间的拓扑关系,加入交并比约束和Hausdorff距离对初步优化后的建筑物轮廓进一步调整,有效解决轮廓过度优化和细节过多的问题,得到接近真值的建筑物轮廓。基于轮廓优化的实验结果表明:本文提出的方法能够解决建筑物轮廓在优化之后的相邻建筑物轮廓线段存在交叉的拓扑错误问题,研究结果对建筑物轮廓优化领域具有一定的参考意义。
Aiming at the problem that existing conventional optimization methods for building contours usually do not consider the topological relationship between adjacent contours,which leads to the existence of cross-topological errors in adjacent building contours segments after optimization,thus affecting further work,this paper proposes a high-precision optimization method for multiclass classification of building contours.The method of R-tree spatial indexing and classification optimization of building contours is adopted to realize the rapid optimization of building contours of different categories and maintain the topological relationship between the contours,and the building contours after preliminary optimization are further adjusted by adding intersection and intersection over union constraints and Hausdorff distance,which can effectively solve the problems of over-optimization of the contours and too many details,and obtain the building contours close to the true value.The experimental results based on contour optimization show that the method proposed in this paper is able to solve the cross-topological errors problem in adjacent building contours segments after optimization,and the results of the study have certain reference significance to the field of building contour optimization.
作者
谢永繁
黄友菊
韩广萍
吴慧
XIE Yongfan;HUANG Youju;HAN Guangping;WU Hui(Guangxi Zhuang Autonomous Region Institute of Natural Resources Remote Sensing,Nanning 530023,China)
出处
《测绘科学》
CSCD
北大核心
2024年第6期126-142,共17页
Science of Surveying and Mapping
基金
广西重点研发计划项目(桂科AB22080080)
高分辨率对地观测系统重大专项政府综合治理应用于规模化产业化示范项目(84-Y50G25-9001-22/23)。
