物探化探计算技术2025，Vol.47Issue(4)：557-565,9.DOI:10.12474/wthtjs.20240506-0001
基于Cesium的大体量数字露头实景三维模型快速可视化优化研究
Research on rapid visualization optimization for large-volume real scene 3D models of digital outcrops based on Cesium
摘要
Abstract
The high-resolution real scene 3D models of digital outcrops constructed based on unmanned aerial vehicle oblique photogrammetry technology greatly facilitates geological researchers in studying field geological outcrops.However,the characteristics of high resolution and large data volume inherent in real scene 3D models of digital outcrops pose challenges for their rapid web visualization using the Cesium 3D engine.This paper proposes a top-level merging method and an optimization method for Cesium loading strategy based on the characteristics of 3D model data structures and the loading and rendering methods of the Cesium 3D engine.The research indicates:a)through the top-level merging method,the initial loading speed of the 3D model is significantly improved,reducing the loading time by about 80%and shortening the user waiting time;b)the top-level merging method reduces the computer resource consumption such as the GPU and RAM usage by the model,resulting in higher average frame rate for model rendering and smoother model exploration;3)the Cesium loading strategy optimization method eliminates the negative impact of masking on model exploration,enhancing the experience of browsing real scene 3D models of digital outcrops.Therefore,the rapid visualization method proposed in this paper can significantly optimize the loading and browsing effects of real scene 3D models on the client side,improving user experience and actively promoting research,applications,and dissemination related to digital outcrops.关键词
实景三维模型/大体量/Cesium/Web可视化/加载优化Key words
Real scene 3D models/large-volume/Cesium/web visualization/loading optimization分类
天文与地球科学引用本文复制引用
周文峰,王卫红,陈建华,王炳乾,吴玉清,徐钰皓,彭学礼..基于Cesium的大体量数字露头实景三维模型快速可视化优化研究[J].物探化探计算技术,2025,47(4):557-565,9.基金项目
国家科技重大专项项目课题(2016ZX05050005) （2016ZX05050005）
成都理工大学研究生教育教学改革重点项目(2022YJG112) （2022YJG112）
