真三维空间索引支持下的复杂地学模型剪切技术研究

项目名称： 真三维空间索引支持下的复杂地学模型剪切技术研究

项目编号： No.41201382

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地理学

项目作者： 杨成杰

作者单位： 华北水利水电大学

项目金额： 25万元

中文摘要： 人类对形状的识别过程部分地基于分割:当关注的物体某一部分数据或者内部信息被表层结构或其它物体掩盖时，为了获取形状的显著特征，就需要对空间模型进行切割。通过切割面的大小、颜色、形态、空间位置及属性信息来揭示物体内部复杂的结构。当前，研发具有地上-地下空间数据一体化存储、管理、分析和表达功能的三维GIS是地学信息领域的热点和难点问题，快速、高效的矢量剪切是其中关键技术之一。面对海量的三维空间信息和多样性的描述对象，三维地学模型的复杂性和不确定性是固有的。课题针对海量空间环境中三维模型形态多变、数据量大、属性信息丰富，以及三维场景对象数量巨大、类型繁多的特点,拟在场景和模型两个层面分别应用真三维空间索引，研究包含地面物体、地质结构和地下设施等三维地学数据一体化矢量剪切算法,为复杂地学环境下的空间分析和三维建模提供一种可靠的技术手段。在理论研究的基础上开发相应的软件以保证该方法的实用性和可推广性。

中文关键词： 三维空间索引；矢量剪切；可视化分析；三维空间分析；矢量数据分析

英文摘要： People discriminate shape partially based on partition, when part of the data or interior information within the concerned object is concealed by the surface structure or other objects, it is necessary to shear the space model in order to obtain the salient features of the shape. Then the internally complex structure of the object can be revealed by the size, color, morphology, spatial location and attribute information of the cut plane. At present, 3D GIS, whose special emphasis is on the development of the integrative storage, management, analysis and expression of the above- and under- ground spatial data, is a hotspot and difficulty in the geo-information field, and fast and efficient vector shear is one of the key technologies. In view of massive three-dimensional spatial information and diverse objects, the complexity and uncertainty of 3D geographical model is inherent. According to the variable forms of 3D model, large volumes of data, and rich attribute information in the massive space environment, as well as a huge number of 3D scene objects and different types of features, the Subject is to apply real 3D space index to the scene and model, with a view to the vector shear of integration of such 3D geosciences data as ground objects, geological structures and underground facilities, offering a reliable

英文关键词： three-dimensional spatial index；vector shear；visualization analysis；three-dimensional spatial analysis；vector data analysis