Adaptive Dynamic X-ray Image Estimation Dataset (Beijing)

Dataset SpecificationThe Data folder contains six subfolders (2D X-ray images, Experiment 1, Experiment 2, Experiment 3, Lunar orbit and OMNI dataset) and an instruction file called Readme.txt.Below I will explain the meaning of the data contained in each sub-file.OMNI dataset folder:The solar wind parameters observed from May 14, 2009, 00:00:00 UTC, to May 15, 2009, 22:40:00 UTC. From top to bottom, the panels display solar wind proton number density, solar wind velocities in three directions (Vx , Vy, and Vz), interplanetary magnetic field strength in three directions (Bx , By, and Bz ), and temperature (T).Lunar orbit folder:Depicts the lunar trajectory within the time interval from May 14, 2009, 00:00:00 UTC, to May 15, 2009, 22:40:00 UTC, with a sampling interval of 1 minute and an angular separation of 24.2222° between the start and end points.  Experiment 1, Experiment 2 and Experiment 3 folder: Experiment 1 respectively illustrate the PSNR and SSIM calculated between the linear interpolation method and the adaptive dynamic X-ray image estimation method against the MHD model X-ray images . Experiment 2 conducted a detailed analysis of the results obtained with time intervals of 5 minutes, 10 minutes, 15 minutes, and 20 minutes for both linear interpolation and adaptive X-ray image estimation methods. Experiment 3 illustrates the continuous evolution of maxima and bow shock profiles in the original MHD X-ray images, linear interpolation results, and adaptive estimation results over the interval from May 14, 2009, 00:10:00 UTC, to May 16, 2009, 10:30:00 UTC, and the time period T of linear interpolation and adaptive dynamic X-ray estimation methods is set to 5 minutes.2D X-ray images folder:The folder contains the results of 2780 minutes of dynamic 2-D X-ray image estimation, and the algorithm's estimation interval is set to 5 minutes.This dataset can be used for related studies using 2-D X-ray estimates of Earth dynamics.The latest version adds Super-SloMo code and corresponding comparison results, and places code to calculate ssim and psnr.

All the calculation results of SSIM and PSNR in this paper are completed after normalization.