Continuous-Scale 3D Terrain Visualization Based on a Detail-Increment Model
2019年10月22日·
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0 分钟阅读时长
艾波
Linyun Wang
Fanlin Yang
Corresponding
,Xianhai Bu
Yaoyao Lin
Guannan Lv
Image credit: Bo Ai摘要
Triangulated irregular networks (TINs) are widely used in terrain visualization due to their accuracy and efficiency. However, the conventional algorithm for multi-scale terrain rendering, based on TIN, has many problems, such as data redundancy and discontinuities in scale transition. To solve these issues, a method based on a detail-increment model for the construction of a continuous-scale hierarchical terrain model is proposed. First, using the algorithm of edge collapse, based on a quadric error metric (QEM), a complex terrain base model is processed to a most simplified model version. Edge collapse records at different scales are stored as compressed incremental information in order to make the rendering as simple as possible. Then, the detail-increment hierarchical terrain model is built using the incremental information and the most simplified model version. Finally, the square root of the mean minimum quadric error (MMQE), calculated by the points at each scale, is considered the smallest visible object (SVO) threshold that allows for the scale transition with the required scale or the visual range. A point cloud from Yanzhi island is converted into a hierarchical TIN model to verify the effectiveness of the proposed method. The results show that the method has low data redundancy, and no error existed in the topology. It can therefore meet the basic requirements of hierarchical visualization.
类型
出版物
ISPRS International Journal of Geo-Information.
Triangulated Irregular Network
Continuous-Scale
Detail-Increment Model
Quadric Error Metric
Edge Collapse
Smallest Visible Object
其他

Authors
正教授
山东科技大学测绘与空间信息学院教授、博士生导师,地理信息科学系主任。山东省泰山产业领军人才、2022年中国青年测绘科技创新人才、2019年山东省青年“互联网+”新锐人物。2005年获武汉大学地图学与地理信息系统硕士学位,2011年获山东科技大学大地测量学与测量工程博士学位,现任中国地理信息产业协会教育与科普工作委员会委员。主要从事“互联网+海洋”研究,主持国家自然科学基金(面上、青年)、国家重点研发计划、863计划等国家级课题10余项,发表论文70余篇(其中SCI论文30余篇为第一/通讯作者)。研发海洋大数据管理、防灾减灾、三维可视化等软件平台,应用于国家海洋环境预报中心、自然资源部北海局等单位。成果中国近海动力参数长期预测及应用系统研发获地理信息科技进步二等奖(第一完成人),另获测绘科技进步一等奖、海洋科学技术奖二等奖等省部级奖励9项。指导学生连续三年获全国GIS应用技能大赛特等奖,个人获全国高校GIS青年教师讲课竞赛一等奖。2020年主持建设地理信息科学国家级一流本科专业,2024年获评山东科技大学教书育人楷模。
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