摘要
为更好解决传统倾斜摄影实景模型悬空地物处理过程中对三维采编环境的过度依赖,本文提出了一种基于倾斜摄影三角网络分析的实景模型悬空地物处理技术方法。该技术方法将三维三角网进行降维处理,通过分析降维后二维三角网节点上边线的辐射特性,快速定位地物边缘点,同时结合聚类分析算法、最小凸边提取等技术方式,实现对悬空地物边界的快速定位、消除。试验选取植被这类悬空地物作为研究对象,验证了文中的技术方法对倾斜摄影实景模型悬空地物处理具有较好的适用性,能极大降低倾斜摄影实景模型数据处理中对三维环境的要求,降低数据处理的难度。
In order to better solve the excessive dependence of the traditional tilting photography real scene model on the three-dimensional editing environment, a real scene model suspended ground object processing technology based on oblique photography triangle network analysis is proposed. The technical method reduces the dimensionality of the three-dimensional triangular network, analyzes the radiation characteristics of the edge on the two-dimensional triangular network node after dimension reduction, and quickly locates the edge point of the feature, and combines the cluster analysis algorithm and the minimum convex edge extraction technology. The rapid positioning and elimination of the boundary of suspended objects is realized. The suspended objects such as vegetation are selected as the research object. It is verified that the technical method has good applicability to dealing with the suspended photographic real scence model, and can greatly reduce the requirements of the three-dimensional environment and the data processing difficulty in the processing of the oblique photography real-world model.
作者
王哲奇
徐柳华
俞志强
WANG Zheqi;XU Liuhua;YU Zhiqiang(Shaoxing Shangyu District Planning Management Service Center,Shaoxing 312200,China;Zhejiang Academy of Surveying&Mapping,Hangzhou 310023,China)
出处
《测绘通报》
CSCD
北大核心
2020年第5期111-114,共4页
Bulletin of Surveying and Mapping
关键词
倾斜摄影
三维实景模型
悬空地物
K-means离散点聚类算法
最小凸包
tilt photography
3D real scene model
suspended ground objects
K-means discrete point clustering algorithm
minimum convex hull
