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作 者:赵明伟[1,2,3] 张扬 江岭 王春[1,2,3] 孙京禄 ZHAO Mingwei;ZHANG Yang;JIANG Ling;WANG Chun;SUN Jinglu(School of Geography Information and Tourism,Chuzhou University,Chuzhou,Anhui 239000,China;Anhui Center for Collaborative Inn ovation in Geographical In formation Integration and Application,Chuzhou,Anhui 239000,China;Anhui Engineering Leiboratory of Geo-information Smart Sensing and Services,Chuzhou University,Chuzhou,Anhui 239000,China;Anhui Institute of Economics,Hefei 230051,China)
机构地区:[1]滁州学院地理信息与旅游学院,安徽滁州239000 [2]安徽省地理信息集成应用协同创新中心,安徽滁州239000 [3]滁州学院安徽省地理信息智能感知与服务工程实验室,安徽滁州239000 [4]安徽省经济研究院,合肥230051
出 处:《测绘科学》2019年第3期122-126,共5页Science of Surveying and Mapping
基 金:国家自然科学基金项目(41701450;41571398;41501445);安徽省自然科学基金青年基金项目(1808085QD103;1608085QD77);安徽省教育厅高校自然科学研究重点项目(KJ2016A536);安徽省2017年公益性技术应用研究联动计划项目(1704f0704064)
摘 要:针对当前高精度曲面建模方法在基于高程散点构建DEM过程中存在形态失真的问题,提出一种顾及地表形态变化特征的模型优化方法。通过局部计算区域的坐标系旋转,重新构建了计算格网点周围点的高程之间的约束方程关系。该研究采用理论数学曲面和实地高程采样数据进行精度验证实验,结果表明,基于优化后的高精度曲面建模方法构建的DEM在平均绝对值误差、误差最大值、均方根误差等误差指标上相对反距离加权、普通克里格和样条插值等经典插值方法均有明显改善。此外通过山体阴影等方式进行比较分析,表明优化后的方法构建的DEM具有更高的形态精度。According to the problem that there exists obvious form error of the OEMs generated by high Accuracy surface modeling ( HASM), this paper put forward a new way to improve this model considered the variation characteristics of surface in local area. The improved model rebuilds the constraint equations between the computing grids and their neighbor grids through rotating the coordinate system in local area. Theoretical mathematical surface and field sampling data were used for accuracy verification in this research. and the analysis results show that the improvement HASM got a significant accuracy advantage compared with the previous model and other classical interpolation models,such as distance inverse weight. ordinary kriging, and Spline method. Further analysis from the view of terrain shadows and comparison of contours indicate that the improvement model's OEMs has better consistency with the approximate surface morphology than the previous HASM and Spline method.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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