基于球面DQG的地形与矢量数据自适应集成建模

发布时间：2019-05-27 10:50

【摘要】：矢量数据与地形自适应集成表达是恢复空间对象真实面貌的有效手段。随着多类型、多分辨率海量空间数据获取技术的发展及大范围（乃至全球）行业应用需求的增长，基于球面格网模型的多类型数据集成已成为全球GIS的研究热点之一。本文在球面退化四叉树格网（DQG）框架基础上，针对几何插值法计算复杂及效率低下的问题，通过引入格网单元分解思想，探讨了球面矢量数据与地形格网自适应集成建模的关键技术问题，主要研究内容包括：基于格网单元分解的矢量线与地形集成建模、DQG格网单元的定向搜索方法及基于格网单元的矢量线自适应漂移算法等；最后，应用GTOPO30、ASTER GDEM高程数据以及DCW道路、GADM V1行政边界矢量数据，设计并开发了实验原型系统，验证了本文所提出算法的正确性和可行性，并对集成效率和误差进行了综合定量分析。
[Abstract]:The adaptive integrated representation of vector data and terrain is an effective means to restore the real appearance of spatial objects. With the development of multi-type and multi-resolution massive spatial data acquisition technology and the increase of application demand in large-scale (and even global) industries, multi-type data integration based on spherical grid model has become one of the research hotspots of global GIS. In this paper, on the basis of spherical degenerated quadtree grid (DQG) framework, aiming at the problem of complex calculation and low efficiency of geometric interpolation method, the idea of grid element decomposition is introduced. The key technology of adaptive integrated modeling of spherical vector data and terrain grid is discussed. The main research contents include: integrated modeling of vector line and terrain based on grid element decomposition. The directional search method of DQG grid element and the adaptive drift algorithm of vector line based on grid element. Finally, an experimental prototype system is designed and developed by using GTOPO30,ASTER GDEM elevation data, DCW road and GADM V1 administrative boundary vector data, which verifies the correctness and feasibility of the algorithm proposed in this paper. The integration efficiency and error are analyzed quantitatively.
【学位授予单位】：中国矿业大学（北京）
【学位级别】：博士
【学位授予年份】：2013
【分类号】：P208

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