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作 者:方登茂 杨健男 张彦平 FANG Dengmao;YANG Jiannan;ZHANG Yanping(Xi′an Institute of Prospecting and Mapping,Xi′an Shaanxi 710054,China;Institute of Geographic Information and Mapping,Chinese Academy of Surveying&Mapping,Beijing 100036,China)
机构地区:[1]西安市勘察测绘院,陕西西安710054 [2]中国测绘科学研究院地理信息系统与地图学研究所,北京100036
出 处:《北京测绘》2023年第7期959-963,共5页Beijing Surveying and Mapping
基 金:新型基础测绘国家试点项目(H2212/2243/2245);中国测绘科学研究院基本科研业务项目(AR2201)。
摘 要:高程点是地形图上的重要内容之一,不同尺度的地形图需要选取不同密度的高程点。本文提出了一种顾及上下文特征及重要性的高程点分类与选取方法,首先将高程点分为重要高程点、次要高程点和一般高程点三类高程点;然后,根据重要性总结并提出了一种选取原则;接着,基于该原则,逐类按上下文特征选取高程点,得到抽稀后的高程点结果;最后,经实际数据验证表明:该方法自动识别出各类高程点,抽稀后的高程点分布可视化效果好。Elevation points are one of the important contents in a topographic map.A topographic map with different scale has a different elevation points selection result.This paper proposed a method of classification and selection for elevation points considering context characteristics and importance.Firstly,elevation points were divided into important elevation points,secondary elevation points and general elevation points;Then,a selection principle according to the importance of the summary was proposed;Next,based on this principle,elevation points were selected class-by-class according to the context characteristics,and the result of elevation points after thinning was obtained;Finally,the experimental results showed that this method could automatically identify all kinds of elevation points,and the elevation points distribution after thinning had a well visualization.
分 类 号:P208[天文地球—地图制图学与地理信息工程] TP302.4[天文地球—测绘科学与技术]
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