Volume 43 Issue 3
Jul.  2023
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Article Navigation >  Chinese Journal of Space Science  > 2023  >  43(3): 423-433 Open Access
ZHU Yan, ZHONG Dingkun. A Time-varying Volume Data Transfer Function for Interplanetary Numerical Simulation Data (in Chinese). Chinese Journal of Space Science, 2023, 43(3): 423-433 doi: 10.11728/cjss2023.03.2022-0011
Citation: ZHU Yan, ZHONG Dingkun. A Time-varying Volume Data Transfer Function for Interplanetary Numerical Simulation Data (in Chinese). Chinese Journal of Space Science, 2023, 43(3): 423-433 doi: 10.11728/cjss2023.03.2022-0011
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A Time-varying Volume Data Transfer Function for Interplanetary Numerical Simulation Data

doi: 10.11728/cjss2023.03.2022-0011 cstr: 32142.14.cjss2023.03.2022-0011
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2022-01-08
  • Accepted Date: 2022-06-10
  • Rev Recd Date: 2022-12-18
    • Available Online: 2023-02-14
    Abstract
  • Understanding the interplanetary propagation of solar storms is the foundation of space environmental forecasting and services. The visualization of numerical model simulation data is an important method to analyze the propagation dynamics process and verify the validity of the model. In order to facilitate the visualization analysis of the numerical model simulation data with increasing simulation scale, a Transfer Function for Time-varying Volume data rendering (TFTV) based on the characteristics of time domain and frequency domain is proposed. The algorithm is designed to extract images including motion regions based on the K-Nearest Neighbor (KNN) background subtraction method, and then the three-dimensional subset of the moving region can be extracted according to the mapping relationship between the image and the volume data to achieve the reduction of large-scale grid volume data. Then the Frequency Tuned (FT) salient region detection algorithm is used to detect Coronal Mass Ejection (CME) in motion area images, and according to the CME detection results, a color inverse mapping algorithm is designed to find the boundary threshold between the CME and interplanetary space background. Finally, the transfer function design in volume visualization is adaptively adjusted based on the threshold to realize the fast 3D visualization of CME in the motion region at each time step. The experimental results show that TFTV transfer function algorithm can adapt to the numerical model simulation data in static and dynamic backgrounds. Compared with the linear transfer function, the occlusion of the line in sight direction is effectively avoided, the change of relative momentum is intuitively and automatically displayed, and the evolution process of CME in interplanetary space is traced. The extraction of local regions reduces data redundancy, and the process of adaptively adjusting the transfer function by automatically analyzing the data with the help of algorithms avoids the inefficiency of manual adjustment.

     

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