NSSC OpenIR
Space Environment Data Field Modeling and Visualization
Alternative TitleWOS:000534529600081;20200908219228
Wang Peng; Cai Yanxia1
Source PublicationELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019)
2020
Volume11373
Pages113732A
DOI10.1117/12.2557205
Language英语
ISSN0277-786X
ISBN978-1-5106-3524-1
AbstractIn 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.
KeywordSpace environment data field adaptive multi-dimensional dynamic data model visualization
Conference Name11th International Conference on Graphics and Image Processing (ICGIP)
Conference DateOCT 12-14, 2019
Conference PlaceZhejiang Gongshang Univ, Hangzhou, PEOPLES R CHINA
Indexed ByCPCI ; EI
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Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7752
Collection中国科学院国家空间科学中心
Affiliation1.Space Engn Univ, Langfang, Peoples R China
2.Natl Space Sci Ctr, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang Peng,Cai Yanxia. Space Environment Data Field Modeling and Visualization[C],2020:113732A.
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