%0 Journal Article %T Extraction of Landform Features and Organization of Valley Tree Structure Based on Delaunay Triangulation Model
基于Delaunay三角网模型的等高线地形特征提取及谷地树结构化组织 %A AI Yan-hu %A ZHU Guo-rui %A ZHANG Gen-shou %A
艾延华 %A 祝国瑞 %A 张根寿 %J 遥感学报 %D 2003 %I %X Terrain landform features play major roles in such fields as geomorphology type recognition, relief map generalization, DEM construction and hydrology analysis. This paper presents an automatic method to extract terrain landform features and organize drainage system into tree structure based on bend assessment using Delaunay triangulation model. Compared with traditional DEM or TIN based methods, this pure vector approach obtains not only the topological structure of drainage system in planar graph, but also the valley distribution polygon range. Depending on geometrical computation and judgment of vector line, polygon, the structured properties in drainage representation is enhanced, avoiding the case of noise disturbance in DEM based method. The core algorithm makes use of the ability of Delaunay triangulation in detecting hierarchical structure of each contour line. Three kinds of tree structure organization are discussed: the hierarchical binary tree representing bend inclusion relationship contained in single contour line, the plane structure tree representing valley topological relationship, the semantic hierarchical tree representing valley join level from the point of view of hydrology. This paper gives systemically experiment and detailed comparative analysis. %K delaunay triangulation %K landform features %K drainage system %K spatial analysis %K map generalization
Delaunay三角网模型 %K 矢量等高线 %K 地形特征 %K 特征提取 %K 谷地树组织 %K 结构化 %K 空间分析 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=8B8BA946D8316BB1&yid=D43C4A19B2EE3C0A&vid=DF92D298D3FF1E6E&iid=E158A972A605785F&sid=8BB50A069C48D50B&eid=88D36036CFF69B3C&journal_id=1007-4619&journal_name=遥感学报&referenced_num=9&reference_num=23