Large-scale spatial data visualization method based on augmented reality

作     者：Xiaoning QIAO Wenming XIE Xiaodong PENG Guangyun LI Dalin LI Yingyi GUO Jingyi REN 

作者机构：Key Laboratory of Electronics and Information Technology for Space SystemsNational Space Science CenterChinese Academy of SciencesBeijing 100190China University of Chinese Academy of SciencesBeijing 100049China Ordnance Science and Research Academy of ChinaBeijing 100089China 

出 版 物：《虚拟现实与智能硬件（中英文）》 (Virtual Reality & Intelligent Hardware)

年 卷 期：2024年第6卷第2期

页      面：132-147页

核心收录：

学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 080203[工学-机械设计及理论] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 0802[工学-机械工程] 

主　　题：Large-scale spatial data analysis Visual analysis technology Augmented reality 3D reconstruction Space environment 

摘      要：Background A task assigned to space exploration satellites involves detecting the physical environment within a certain ***,space detection data are complex and *** data are not conducive for researchers visual perceptions of the evolution and interaction of events in the space *** A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature *** visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other *** The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were *** real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also *** The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules.