摘要
针对KLSeis三维观测系统设计中大规模地表数据实时可视化问题,提出了基于视点的细节层次控制技术和内外存调度的数据控制策略。利用索引技术对海量地表数据进行多分辨率数据重组,采用四叉树快速搜索算法并结合动态页面调度和实时LOD技术实现大规模地表数据高速加载和无延迟显示,突破了原有格网模型数据量限制,实现了流畅逼真的真地表模拟,为复杂探区地震采集设计提供了一种先进的技术手段。
Large volume data storage and real-time rendering of terrain information is playing a key role in seismic acquisition engineering software system (KLSeis).For the purpose of real-time rendering huge terrain dataset,an approach of view-dependent level-of-detail (LOD) and multi-resolution data organization is put forward for the real-time visualization in KLSeis 3-D survey geometry design system.Dynamic data management is achieved by target-tile searching algorithm based on human’s visual perception.The out-of-core technique was adopted to extend the main memories to the sizes of external hard drivers to alleviate the storage problem for managing huge datasets.The view-dependent visualization method provides theoretical foundation and technical supports for 3-D seismic data acquisition in complex surface area.
出处
《勘探地球物理进展》
2008年第6期441-444,共4页
Progress in Exploration Geophysics
关键词
多分辨率数据组织
视点相关LOD
数据动态调度
multi-resolution data organization
view-dependent level-of-detail (LOD),dynamic data management