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基于GPU的地形可视化加速算法研究 被引量:4

Research on Acceleration Algorithm of Terrain Visualization Based on GPU
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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。 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.
作者 李朝奎 方军 肖克炎 王宁 周青蓝 隗含涛 LI Chao-kui;FANG Jun;XIAO Ke-yan;WANG Ning;ZHOU Qing-lan;WEI Han-tao(National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology,Hunan University of Science and Technology,Xiangtan,Hunan 411201;MNR Key Laboratory of Metallogeny and Mineral Assessment,Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing 100037)
出处 《地球学报》 EI CAS CSCD 北大核心 2020年第2期303-308,共6页 Acta Geoscientica Sinica
基金 国家自然科学基金(编号:41571374) 国家重点研发计划(编号:2018YFB0504501,2017YFB0503802)联合资助。
关键词 地形建模 ROAM算法 GPU terrain modeling ROAM algorithm GPU
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