Large-scale spatial data visualization method based on augmented reality

被引：0
作者：
Qiao X. [1 ,2 ]
Xie W. [1 ,2 ]
Peng X. [1 ]
Li G. [3 ]
Li D. [1 ]
Guo Y. [1 ,2 ]
Ren J. [1 ]
机构：
[1] Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
[3] Ordnance Science and Research Academy of China, Beijing
来源：
Virtual Reality and Intelligent Hardware | / 6卷 / 02期
关键词：
3D reconstruction; Augmented reality; Large-scale spatial data analysis; Space environment; Visual analysis technology;
D O I：
10.1016/j.vrih.2024.02.002
中图分类号：
学科分类号：
摘要：
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. © 2024 Beijing Zhongke Journal Publishing Co. Ltd
引用
收藏
页码：132 / 147
页数：15
相关论文
共 24 条
[1]  
Gan W.Q., Zhu C., Deng Y.Y., Li H., Su Y., Zhang H.Y., Chen B., Zhang Z., Wu J., Deng L., Huang Y., Yang J.F., Cui J.J., Chang J., Wang C., Wu J., Yin Z.S., Chen W., Fang C., Yan Y.H., Lin J., Xiong W.M., Chen B., Bao H.C., Cao C.X., Bai Y.P., Wang T., Chen B.L., Li X.Y., Zhang Y., Feng L., Su J.T., Li Y., Chen W., Li Y.P., Su Y.N., Wu H.Y., Gu M., Huang L., Tang X.J., Advanced Space-based Solar Observatory (ASO-S): an overview, Research in Astronomy and Astrophysics, 19, 11, (2019)
[2]  
Huang Y., Li H., Gan W.Q., Li Y.P., Su J.T., Deng Y.Y., Feng L., Su Y., Chen W., Lei S.J., Li Y., Ge Y.Y., Su Y.N., Liu S.M., Zang J.J., Xu Z.L., Bai X.Y., Li J.W., The science operations and data center (sodc) of the aso-s mission, Research in Astronomy and Astrophysics, 19, 11, (2019)
[3]  
Feng X.S., Zhou Y.F., Wu S.T., A novel numerical implementation for solar wind modeling by the modified conservation element/solution element method, The Astrophysical Journal, 655, 2, pp. 1110-1126, (2007)
[4]  
Tu C.Y., Zong Q.G., He J.S., Tian H., Wang L.H., Solar-terrestrial physics (Interplanetary and Magnetosphere), (1988)
[5]  
Bock A., Axelsson E., Bladin K., Costa J., Payne G., Territo M., Kilby J., Kuznetsova M., Emmart C., Ynnerman A., OpenSpace: an open-source astrovisualization framework, The Journal of Open Source Software, 2, 15, (2017)
[6]  
Axelsson E., Rosin T.F., Spatial-temporal multi-modal visualization of volumetric simulation and in situ satellite data, (2015)
[7]  
Carlbaum O., Noven M., Real-time magnetohydrodynamic space weather visualization, (2017)
[8]  
Bock A., Pembroke A., Mays M.L., Rastaetter L., Ropinski T., Ynnerman A., Visual verification of space weather ensemble simulations, 2015 IEEE Scientific Visualization Conference (SciVis), pp. 17-24, (2015)
[9]  
Zhu Y., Zhong D.K., A time-varying volume data transfer function for interplanetary numerical simulation data, Chinese Journal of Space Science, 43, 3, pp. 423-433, (2023)
[10]  
Tornros M., Interactive visualization of space weather data, (2013)
123