摘要
将采样得到的离散随机分布的高程数据进行网格划分,基于反距离权重插值法,求出网格交点的高程值,在此基础上,在OpenGL中建立DEM模型。地形模拟结果表明,DEM的建模效率受到采样密度,网格划分精度,数据的存储和读取效率,插值函数的搜索半径等4方面因素影响。基于此,建立了DEM模型和各因素之间的效率模型。试验结果表明,该模型适用性强,可靠度高,可以为未来提高DEM建模效率提供一定的思路。
The discrete random distribution of elevation data obtained by sampling is meshed. Based on the inverse distance weight interpolation method, the elevation value of the intersection point of the mesh is obtained. On this basis, a DEM model is established in OpenGL. The terrain simulation results show that the DEM modeling efficiency is influenced by four factors, such as sampling density, meshing accuracy, data storage and reading efficiency, interpolation function model selection. An ef- ficiency model of the elevation data is established for the DEM model and these factors. The model has migh accuracy, and pro- vides a new way for DEM modeling.
作者
成毅
CHENG Yi(Department of Petroleum Engineering,Northeast Petroleum University,Daqing163000)
出处
《微型电脑应用》
2018年第8期85-88,共4页
Microcomputer Applications