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建筑物白模多边形的自动合并
引用本文:郭庆胜,黎佳宜,曹元晖,王勇,刘纪平,郑传帮. 建筑物白模多边形的自动合并[J]. 武汉大学学报(信息科学版), 2021, 0(1): 12-18
作者姓名:郭庆胜  黎佳宜  曹元晖  王勇  刘纪平  郑传帮
作者单位:武汉大学资源与环境科学学院;武汉大学测绘遥感信息工程国家重点实验室;中国测绘科学研究院
基金项目:国家自然科学基金(41871378)。
摘    要:建筑物白模多边形数据可广泛应用于许多领域,但在实际应用中,由于数据太过细致,且目前使用的建筑物白模多边形数据存在拓扑关系错误,不满足生产要求,这给地图综合中建筑物群的自动合并提出了新的要求.因此提出了一种基于约束性Delaunay三角网的建筑物白模多边形自动合并方法,在保持建筑物整体结构和视觉效果的前提下减少不必要的细...

关 键 词:建筑物白模多边形  自动合并  约束性Delaunay三角网  拓扑关系

Automatic Aggregation of Building Footprint Polygons
GUO Qingsheng,LI Jiayi,CAO Yuanhui,WANG Yong,LIU Jiping,ZHENG Chuanbang. Automatic Aggregation of Building Footprint Polygons[J]. Geomatics and Information Science of Wuhan University, 2021, 0(1): 12-18
Authors:GUO Qingsheng  LI Jiayi  CAO Yuanhui  WANG Yong  LIU Jiping  ZHENG Chuanbang
Affiliation:(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;Chinese Academy of Surveying and Mapping,Beijing 100830,China)
Abstract:Building footprint polygons have been used in a wide range of aspects in many fields.However,they are too detailed in many applications to meet the production requirements.Aggregating building footprint polygons can remove unnecessary details while preserving the overall structure and visual impression of them.Nowadays they are usually generated from high resolution cadastral and remote sensing data,having many topological problems.These topological problems will influence application of the data,then bring new requirements to buildings aggregation in automated cartographic generalization.So we should solve these new problems.This paper proposes a method to aggregate building footprint polygons automatically,which can remove these topological problems.This method can effectively maintain the consistency of spatial topological relationship among building footprint polygons,and make three dimension visualization of independent buildings more convenient.And a desktop application to implement our proposed method in this paper.Comparison and analysis of experimental results with results from polygon generalization tool of ArcGIS verified that the proposed method is effective and practicable.The results show that our method has following advantages:(1) This method can remove topological problems while aggregating building footprint polygons.(2) Our classification of triangles is beneficial for aggregation of building footprint polygons.(3) This method can acquire overall building contour conforming cognitive knowledges and independent building footprint polygons with topological consistency at the same time.
Keywords:building footprint polygon  automatic aggregation  constrained Delaunay triangulation  topological relationship
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