Indicate that the differential flux of the precipitating electrons is well Imaging Riometer for Ionospheric Study (IRIS) at Kilpisjärvi. (ALIS), the European Incoherent Scatter (EISCAT) radar at Tromsø, and the Simulated data from real instruments, the Auroral Large Imaging System The relative weighting of each instrument data isĭetermined by the cross-validation method. Based on aīayesian model with prior information as the smoothness of the electronĮnergy spectra, the inverse problem is formulated as a maximization of Method and to test its feasibility by numerical simulation. This paper is to describe the reconstruction algorithm involved in this (CNA) from imaging riometers, as well as the auroral images. Precipitating electrons from multi-instrument data, such as ionosphericĮlectron density from incoherent scatter radar, cosmic noise absorption (G-ACT) that reconstructs the energy and spatial distributions of We extend this method to a Generalized-Aurora Computed Tomography Monochromatic auroral images obtained simultaneously by a multi-point camera Three-dimensional (3-D) distribution of the volume emission rate from Then the three-dimensional coordinates of feature points are calculated by triangulation, aurora shape is measured and visualized.Īurora Computed Tomography (ACT) is a method for retrieving the Moreover, a feature point tracking between two images continuing in time is performed to improve precision of the feature point detection. The dense feature points are detected from the images of aurora by using template matching though the image of aurora has few characteristic pattern. The images photographed by the cameras are performed calibration by using the star to estimate the camera attitude.
SAMPLE AURORA 3D PRESENTATION SERIES
Two fish-eye cameras were installed at Fairbanks, Alaska, U.S.A to get the time series images of aurora. In this paper, a method to measure three-dimensional shape of auroa by using only two fish-eye cameras is proposed. Therefore a method to reconstruct a three-dimensional shape of aurora precisely is demanded. Three-dimensional analysis of aurora is important for the research of solar wind and magnetic storms, because aurora reflects the relationship between solar wind and terrestrial magnetism.
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