Aurora oval position determining method based on deep learning

Abstract

The invention discloses an aurora oval position determining method based on deep learning and mainly solves the problem of inaccuracy existing in an existing aurora oval position determining method. The aurora oval position determining method comprises the following steps: (1) selecting complete aurora oval images from ultraviolet auroral images to form an aurora oval image set; (2) performing image segmentation on original images by utilizing shape information and maximum similarity region merging criterions; (3) performing coordinate transformation on images obtained by segmentation by utilizing geomagnetic coordinate information of the images; (4) obtaining boundary point coordinates in the aurora oval equatorial direction and the polar direction according to transformed images; (5) constructing a geomagnetic physical parameter database at the corresponding moment of an aurora oval by utilizing the shooting time of the images in the aurora oval image set; (6) inputting the aurora oval boundary point coordinates as well as geomagnetic physical parameters into a deep learning network to determine the aurora oval position. According to the aurora oval position determining method, the aurora oval position determination accuracy is improved. The aurora oval position determining method can be used for researching the effect of the geomagnetic physical parameters on aurora activities.

Description

technical field [0001] The invention belongs to the technical field of image processing, and particularly relates to a method for determining the position of an aurora egg, which can be used to study the relationship between the position of the aurora egg and geomagnetic physical parameters, understand the coupling process of the sun and the earth, and recognize the law of spatial climate change. Background technique [0002] Understanding some physical processes in the environment around the earth, such as the aurora phenomenon produced by the combined action of the plasma in the solar wind, the earth's magnetic field and the earth's atmosphere, is of great significance to the study of geospace science. The auroral egg is an annular band-shaped luminous area produced by the settlement of high-energy particles affected by the solar wind in the north and south poles of the earth. The polar and equatorial boundaries of the auroral egg are important geophysical parameters, whic...

AI Technical Summary

Problems solved by technology

Yang used the method of multiple regression to characterize the position of the aurora egg as a function of various physical parameters, but the method of multiple regression was greatly affected by the assumption of the regression equation, and the regression equation in the form of a quadratic polynomial could not accurately reflect the objective physical laws

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