Paper
3 January 2020 Space environment data field modeling and visualization
Peng Wang, Yanxia Cai
Author Affiliations +
Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113732A (2020) https://doi.org/10.1117/12.2557205
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
Abstract
In order to solve the problem of inadequate visualization and intuitive description of space environment, a method of space environment visualization based on data field was proposed. The space environment mainly includes neutral atmosphere, ionospheric plasma and high-energetic charged particles. Firstly, by analyzing the calculation model of space environment, a unified multi-dimensional dynamic space environment data model was designed, and the space environment data field is constructed. Secondly, because of the large difference in magnitude and uneven distribution of elements in spatial environment data field, it cannot be directly used for display. Considering the requirements of data processing speed and computer visualization, an adaptive normalized data preprocessing method was proposed. Based on the physical characteristics of spatial environment layer elements, a mathematical model for layer representation of data field, and an adaptive optimization layer algorithm for data field were proposed. Finally, the adaptive layer grid data was tracked by contours, and the layer rendering principle was used to realize the visualization of spatial environment data field. This method was used to visualize neutral atmosphere, ionospheric plasma and high-energetic charged particles. Experiments show that this method can meet the visualization requirements of space environment data field and effectively improve the visualization expression of space environment information.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Wang and Yanxia Cai "Space environment data field modeling and visualization", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113732A (3 January 2020); https://doi.org/10.1117/12.2557205
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KEYWORDS
Data modeling

Visualization

Visual process modeling

Mathematical modeling

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