首页|Large-scale spatial data visualization method based on augmented reality
Large-scale spatial data visualization method based on augmented reality
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Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods 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 data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions 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.
Large-scale spatial data analysisVisual analysis technologyAugmented reality3D reconstructionSpace environment
Key Laboratory of Electronics and Information Technology for Space Systems,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China
University of Chinese Academy of Sciences,Beijing 100049,China
Ordnance Science and Research Academy of China,Beijing 100089,China
Key Laboratory of Electronics and Information Technology for Space Systems(National Space Science Center,Chinese Academy of Sciences),Beijing 100190,China
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