共查询到19条相似文献，搜索用时 171 毫秒
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随着3维地图的发展,2维地图中的一些注记自动配置规则和方法在3维环境下显得并不适用.在分析3维注记视觉变量及其影响因素的基础上,对3维地形图中面状要素的注记配置规则进行了研究,提出一种基于约束性Delaunay三角网提取面状要素注记定位线、并结合3维地形图中面状要素的符号特征获取注记定位点的3维面状要素注记自动配置方法,在基于ArcEngine的3维地形图自动绘制系统中得到了成功应用. 相似文献
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针对当前动态分段方法缺乏时间维的问题,在典型的标准动态分段基础上增加时间维线性特征,形成时空动态分段方法,并使用该方法在ArcGIS中对交通事件进行了可视化表达. 相似文献
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简要介绍了交通网络3维模型的表示,阐述了线性参考基准的建立,并在此基础上给出了线性坐标和空间3维坐标的转换;讨论了动态分段技术及其扩展,以综合车道为基础进行属性信息存储和3维建模的实现,考虑临时局部数据的更新得出适应3维GIS的导航数据模型. 相似文献
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亚洲国家,特别是中国的城市发展,立交桥、摩天大楼等日益复杂。传统基于道路中心线的道路网络模型在几何、时空语义属性、拓扑关系表达等方面都难以满足立体化交通需求。本文引入物理车道、虚拟车道和车道带概念,提出面向实际车道的多层次3维道路网络模型,重点分析该模型的数据库实现方法和实际车道拓扑构建、离散化、面向实际车道的寻径导航等关键问题。试验总结了该模型的若干明显特点如路网的多层次表达、灵活准确的车道拓扑控制等。 相似文献
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注记配置直接影响GIS地图制图子系统的显示效果,其中面状注记配置的首要问题是寻找注记配置点.本文认为面状注记配置的实质是2维符号的"降维处理",亦即使用低维符号(O维配置点或1维配置线)表达高维(2维)符号的主要特征.通过基于图形认知的推导,作者认为注记配置位置应使得其与面状符号边界竞争形成的Voronoi图形内部面积最大.由于该原则可由LI&Huang提出的几何信息熵阐明,因此在Li&Huang信息量量测方法集上,引入"熵心"、"双熵心"、"熵线"的概念,提出了基于几何信息熵的面状符号注记配置方案. 相似文献
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基于VIRTOOLS的城市3维仿真系统的开发与实现 总被引：1，自引：0，他引：1
阐述了基于VIRTOOLS开发平台建立城市3维仿真系统的方法及关键技术.特别是针对3维仿真引擎实时处理大场景海量3维模型数据的难点问题,提出了3维模型动态加栽方法.通过该方法建立的城市3维仿真平台,克服了一般3维引擎对3维模型数据量的限制,能实现城市无限区域场景的无缝实时浏览. 相似文献
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公路三维模型建立与数据组织 总被引：15，自引：0，他引：15
以公路设计数据为基础 ,讨论了地形、公路及其构造物的三维模型的建立方法。针对公路呈线性分布的特点 ,采用动态分段技术来组织管理路面三角形数据及道路属性数据 ,并在三维环境下 ,对经典的二维线性参照系统进行扩展 ,使之能满足公路附属设施三维模型的定位及其位置查询 ,并在具体项目中得到验证 相似文献
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On 3D Geo-visualization of a Mine Surface Plant and Mine Roadway 总被引：1，自引：0，他引：1
WANG Yunjia FU Yongming FU Erjiang 《地球空间信息科学学报》2007,10(4):287-292
Constructing the 3D virtual scene of a coal mine is the objective requirement for modernizing and processing information on coal mining production. It is also the key technology to establish a "digital... 相似文献
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机载激光扫描点云的三维数字图像表达模型将二维形态学运算推广至三维,给出基于三维数字图像的膨胀和腐蚀运算方法。针对点云三维数字图像,提出基于三维数学形态学和聚类分析的分割方法。将点云三维数字图像进行膨胀和聚类分析,依据聚类结果得到点云的分割结果。讨论了本方法两个参数与点云分辨率、地物间隔之间的关系。选用两套实例数据进行实验,并将第一套数据计算结果与Mean Shift算法、渐进三角网加密算法进行比较,从分割评价因子、精度、计算效率等方面分析本文方法与其他两种方法的优劣,最后分析了本文方法的稳定性。 相似文献
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J. Reitberger Cl. Schnörr P. Krzystek U. Stilla 《ISPRS Journal of Photogrammetry and Remote Sensing》2009,64(6):561-574
This paper highlights a novel segmentation approach for single trees from LIDAR data and compares the results acquired both from first/last pulse and full waveform data. In a first step, a conventional watershed-based segmentation procedure is set up, which robustly interpolates the canopy height model from the LIDAR data and identifies possible stem positions of the tallest trees in the segments calculated from the local maxima of the canopy height model. Secondly, this segmentation approach is combined with a special stem detection method. Stem positions in the segments of the watershed segmentation are detected by hierarchically clustering points below the crown base height and reconstructing the stems with a robust RANSAC-based estimation of the stem points. Finally, a new three-dimensional (3D) segmentation of single trees is implemented using normalized cut segmentation. This tackles the problem of segmenting small trees below the canopy height model. The key idea is to subdivide the tree area in a voxel space and to set up a bipartite graph which is formed by the voxels and similarity measures between the voxels. Normalized cut segmentation divides the graph hierarchically into segments which have a minimum similarity with each other and whose members (= voxels) have a maximum similarity. The solution is found by solving a corresponding generalized eigenvalue problem and an appropriate binarization of the solution vector. Experiments were conducted in the Bavarian Forest National Park with conventional first/last pulse data and full waveform LIDAR data. The first/last pulse data were collected in a flight with the Falcon II system from TopoSys in a leaf-on situation at a point density of 10 points/m2. Full waveform data were captured with the Riegl LMS-Q560 scanner at a point density of 25 points/m2 (leaf-off and leaf-on) and at a point density of 10 points/m2 (leaf-on). The study results prove that the new 3D segmentation approach is capable of detecting small trees in the lower forest layer. So far, this has been practically impossible if tree segmentation techniques based on the canopy height model were applied to LIDAR data. Compared to a standard watershed segmentation procedure, the combination of the stem detection method and normalized cut segmentation leads to the best segmentation results and is superior in the best case by 12%. Moreover, the experiments show clearly that using full waveform data is superior to using first/last pulse data. 相似文献
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Building roof modeling from airborne laser scanning data based on level set approach 总被引：1，自引：0，他引：1
KyoHyouk Kim Jie Shan 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(4):484-497
This paper presents a novel approach to building roof modeling, including roof plane segmentation and roof model reconstruction, from airborne laser scanning data. Segmentation is performed by minimizing an energy function formulated as multiphase level set. The energy function is minimized when each segment corresponds to one or several roof plans of the same normal vector. With this formulation, maximum n regions are segmented at a time by applying log2n level set functions. The roof ridges or step edges are then delineated by the union of the zero level contours of the level set functions. In the final step of segmentation, coplanar and parallel roof segments are separated into individual roof segments based on their connectivity and homogeneity. To reconstruct a 3D roof model, roof structure points are determined by intersecting adjacent roof segments or line segments of building boundary and then connected based on their topological relations inferred from the segmentation result. As a global solution to the segmentation problem, the proposed approach determines multiple roof segments at the same time, which leads to topological consistency among the segment boundaries. The paper describes the principle and solution of the multiphase level set approach and demonstrates its performance and properties with two airborne laser scanning data sets. 相似文献
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建筑物屋顶面点云分割结果的好坏对建筑物三维模型重建起着重要的作用。针对传统RANSAC算法建筑物屋顶面点云的分割问题,提出了一种基于局部约束的建筑物点云平面分割方法。利用点云局部曲面法向约束构建法向准则,利用半径约束的点云空间聚类的方法对共面屋顶面点云进行分解,从而抑制"伪屋顶面"的产生;利用局部抽样策略降低算法的迭代次数,减少运算量。实验表明该方法能够获得稳定可靠的建筑物屋顶点云分割结果,将有利于后续的建筑物三维模型重建。 相似文献