一种空间面数据宽窄特征判断方法  

A Method to Identify Wide and Narrow Characteristics of Spatial Area Data

作　　者：杨健男 殷勇[1] 郭沛沛[1] YANG Jiannan;YIN Yong;GUO Peipei(Institute of Geographic Information and Mapping,Chinese Academy of Surveying&Mapping,Beijing 100036,China)

机构地区：[1]中国测绘科学研究院地理信息与地图研究所,北京100036

出　　处：《测绘地理信息》2023年第1期138-141,共4页Journal of Geomatics

基　　金：国家自然科学基金(41871375)。

摘　　要：多样化的面状数据影响了其在地图制图、结构分析上的研究,特别是其宽窄细节问题。为此,提出一种空间面数据宽窄特征判断方法。首先,根据定义的3种定性方法从全局角度判断面状数据的宽窄特征;若无法从全局角度判断其宽窄特征,则在建立的Delaunay三角网的基础上,按三角形的邻接关系、宽窄三角形特征判断式和三角形类型聚类所有三角形,对面状数据的局部细节进行分类和调整;最后,对调整结果重新合并构面,得到面状数据宽窄特征的分割结果。经贵州省某区域图斑数据测试,结果表明,该方法可以在整体上判断出实验区域的狭窄面状数据以及局部上分割出的面状数据的宽窄细节。The diverse polygon data affect the research in cartography and structural analysis,especially their wide and narrow details.Therefore,we propose a method to identify wide and narrow characteristics of spatial polygon data.Firstly,the wide and narrow characteristics of polygons are judged from the overall perspective by three defined qualitative methods.If it fails,on the basis of the established Delaunay triangulation network,all triangles are clustered according to the adjacency relationships of triangles,the feature judgment formula of wide and narrow triangles and the types of triangles.And the local details of the polygons are classified and adjusted.Finally,the adjustment results are reconstructed to obtain the segmentation results of the wide and narrow parts of the polygons.The experiment of a certain area in Guizhou indicates that the proposed method can identify the narrow polygon data and the narrow and wide details of the locally segmented polygon data.

关 键 词：面状数据 DELAUNAY三角网 宽窄特征判断 

分 类 号：P208[天文地球—地图制图学与地理信息工程]