线要素综合的形状相似性评价方法  

A Shape Similarity Assessment Method for Linear Feature Generalization

作　　者：李兆兴 翟京生 武芳[1] LI Zhaoxing;ZHAI Jingsheng;WU Fang(Institute of Geographical Spatial Information,Information Engineering University,Strategic Support Force,Zhengzhou 450001,China;Beijing Institute of Remote Sensing,Beijing 100192,China;School of Marine Science and Technology,Tianjin University,Tianjin 300072,China)

机构地区：[1]战略支援部队信息工程大学地理空间信息学院,河南郑州450001 [2]北京市遥感信息研究所,北京100192 [3]天津大学海洋科学与技术学院,天津300072

出　　处：《武汉大学学报（信息科学版）》2019年第12期1859-1864,共6页Geomatics and Information Science of Wuhan University

基　　金：国家重点研发计划（2016YFC1401203）~~

摘　　要：针对线要素综合质量评价中的形状相似性评价问题,提出一种基于双侧弯曲森林形状表示模型的线要素形状相似性评价方法。引入约束Delaunay三角网及其凸包,生成线要素的双侧根弯曲序列,并在每个根弯曲上生成弯曲树,使用三角形表达每个层次上的弯曲,从而建立基于双侧弯曲森林的线要素形状表示模型。在该模型基础上,顾及线要素的地理位置特征,对综合前后线要素的形状相似性进行评价。实验结果表明,该方法能够区别不同层次上的形状特征,与形状认知的层次一致,能够有效辨识综合质量是否存在问题。Focusing on the shape similarity aspect in linear feature generalization’s quality assessment problem,this paper presents a novel shape similarity assessment method for linear feature generalization.By introducing the constrained Delaunay triangulation and convex hull,the two-side root-bend series are generated.After that,the bend trees are constructed on every root-bend to form the two-side bend forest shape representation model,in which every bend on every level is represented by a triangle.Based on this model,together with the geo-location of the linear feature,the shape similarity between the linear feature before and after generalization is assessed.Experimental results show that,this method can distinguish shape features of different levels effectively,thus achieving the same result as subject shape cognition,and can identify quality problems caused by linear feature generalization.

关 键 词：线要素 综合 质量 弯曲 形状相似性 

分 类 号：P208[天文地球—地图制图学与地理信息工程] P283[天文地球—测绘科学与技术]