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作 者:舒方国[1] 龙毅[1] 周侗[1,2] 曹阳[3]
机构地区:[1]南京师范大学虚拟地理环境教育部重点实验室,江苏南京210046 [2]南通大学地理科学学院,江苏南通226007 [3]南通市规划编制研究中心,江苏南通226006
出 处:《测绘学报》2013年第5期774-781,共8页Acta Geodaetica et Cartographica Sinica
基 金:国家自然科学基金(41171350;41071288;41271449);高等学校博士点基金(20103207110012);江苏省高校研究生科技创新计划基金(CXZZ11_0876)
摘 要:在地图水系自动综合中,河流选取需要建立对不同河流重要性程度的有效判别。河流汇水区域面积成为反映河流作用空间的关键性量化指标。提出一种等高线簇与河网双要素协同的河流汇水区域提取方法,本方法对河流与等高线的目标集合构建约束Delaunay三角网(CD-TIN)并对三角形分类,针对不同类型的三角形分别采用骨架线提取规则与梯度向量引导的分水线搜索规则提取分水线段,连接形成网络结构并依此计算各河段的汇水区域。试验结果表明,本算法能更准确地提取河流汇水区域,从而为河流综合选取提供有效支持。The extraction of river catchment basin is one of the fundamental problems in automatic cartographic generalization of river networks, the catchment basin area is a mostly used index to quantify the importance of river in the networks. Acatchment basin extraction algorithm and river networks according to their natural spatia s proposed based on the cooperation of contour clusters relation. The constrained Detaunay TIN (CE)-TIN) is constructed to organize the topographical information of contour clusters and river networks, then the triangles are classified and two watershed extraction methods are discussed separately. The watershed segments extracted from the typical triangles with the specific rules are subsequently connected to form the watershed network in order to build the catchment basins. The effectiveness of the algorithm is confirmed in the experiment and theresult is in accordance with the terrain characteristics.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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