首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GPU的地形可视化加速算法研究
引用本文:李朝奎,方军,肖克炎,王宁,周青蓝,隗含涛.基于GPU的地形可视化加速算法研究[J].地球学报,2020,41(2):303-308.
作者姓名:李朝奎  方军  肖克炎  王宁  周青蓝  隗含涛
作者单位:湖南科技大学地理空间信息技术国家地方联合工程实验室,湖南科技大学地理空间信息技术国家地方联合工程实验室,中国地质科学院矿产资源研究所, 自然资源部成矿作用与资源评价重点实验室,湖南科技大学地理空间信息技术国家地方联合工程实验室,湖南科技大学地理空间信息技术国家地方联合工程实验室,中国地质科学院矿产资源研究所, 自然资源部成矿作用与资源评价重点实验室
基金项目:国家自然科学基金(编号: 41571374);国家重点研发计划(编号: 2018YFB0504501; 2017YFB0503802)
摘    要:地形可视化是利用数字高程模型DEM,采用计算机图形学和图像处理技术进行三维地形模拟显示。该技术在深部矿产预测、矿产资源评价、虚拟现实、娱乐游戏、飞行模拟等诸多领域有着广泛的应用。随着数据量的增大,三维地形可视化的实时、流畅视觉效果受到当前的计算机硬件技术水平限制。针对这一问题,本文运用ROAM算法进行地形建模,利用GPU高速并行运算性能加速地形可视化建模速度,加速模型显示效果。实验对比表明:当计算量比较小时,加速效果不显著;随着计算量的增大,计算效果越来越明显;当计算量达到一定值时,加速效果达到一个稳定的加速趋势。研究结果为地形可视化及矿产资源评价等类似工作提供了原创性可视化技术支撑。

关 键 词:地形建模  ROAM算法  GPU

Research on Acceleration Algorithm of Terrain Visualization Based on GPU
LI Chao-kui,FANG Jun,XIAO Ke-yan,WANG Ning,ZHOU Qing-lan and WEI Han-tao.Research on Acceleration Algorithm of Terrain Visualization Based on GPU[J].Acta Geoscientia Sinica,2020,41(2):303-308.
Authors:LI Chao-kui  FANG Jun  XIAO Ke-yan  WANG Ning  ZHOU Qing-lan and WEI Han-tao
Institution:National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology,National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology,MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences,National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology,National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology and MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences
Abstract:Terrain visualization is a three-dimensional terrain simulation display using DEM, computer graphics and image processing technology. This technology is widely used in many fields, such as deep mineral prediction, mineral resource evaluation, virtual reality, entertainment games, flight simulation and so on. With the increase of data volume, the real-time and smooth visual effect of 3D terrain visualization is limited by the current level of computer hardware technology. In order to solve this problem, ROAM algorithm is used in terrain modeling, GPU high-speed parallel operation performance is used to accelerate the speed of terrain visualization modeling and the effect of model display. The experimental results show that: when the amount of calculation is small, the acceleration effect is not significant; with the increase of the amount of calculation, the calculation effect is more and more obvious; when the amount of calculation reaches a certain value, the acceleration effect reaches a stable acceleration trend. The research results provide original visualization technology support for similar work such as terrain visualization and mineral Resources evaluation.
Keywords:terrain modeling  ROAM algorithm  GPU
本文献已被 维普 等数据库收录!
点击此处可从《地球学报》浏览原始摘要信息
点击此处可从《地球学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号