| Citation: | TAN Jian, WANG Shenghua, GUO Changshunet al. Video formatting method of near-space data for Web scientific visualization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(4): 712-723. doi: 10.13700/j.bh.1001-5965.2019.0300(in Chinese)
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As a transitional region from sky to space, near-space has important value in the fields of science, economy and military. With the development of remote sensing technology and the continuous development of mode simulation, the massive near-space data of higher spatial and temporal resolution is increasing. On the other hand, efficient and convenient Web scientific visualization and information extraction for near-space data are inevitable requirements for the continuous deepening and expansion of near-space data applications. However, the existing data types are cumbersome and the amount of data is huge in near-space, which becomes the key bottleneck of Web transmission and real-time visualization. This paper focuses on the visualization of near-space data on the Web digital globe, and studies it from the point of data organization methods. According to the characteristics of near-space data, combined with the principle of video compression, we propose to decompose, interpolate and color space transform the near-space data to form an image, and then select the appropriate video compression coding method to encode the image into video. Experiment results show that this method can be implemented efficiently. The video organization of spatial data in the Web environment realizes the real-time visualization of near-space data by reducing the amount of data network transmission while ensuring the quality of visualization. The research results in this paper can directly solve the real-time visualization problem of near-space data on Web, provide visual theory and technical support for the near-space science research and knowledge discovery, and provide a reference for the Web scientific visualization on similar massive data.
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