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Large-scale spatial data visualization method based on augmented reality

虚拟现实与智能硬件（中英文） 2024年第2期6卷 132-147页

作者： Xiaoning QIAO Wenming XIE Xiaodong PENG Guangyun LI Dalin LI Yingyi GUO Jingyi REN Key Laboratory of Electronics and Information technology for Space Systems National Space Science CenterChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Ordnance Science and Research Academy of China Beijing 100089China

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.

关键词： Large-scale spatial data analysis visual analysis technology Augmented reality 3D reconstruction Space environment

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