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Aurora egg position determination method based on deep learning

A deterministic method and deep learning technology, applied in the field of image processing, can solve problems such as large impact and inability to accurately reflect physical laws

Active Publication Date: 2018-03-20
XIDIAN UNIV
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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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  • Aurora egg position determination method based on deep learning
  • Aurora egg position determination method based on deep learning
  • Aurora egg position determination method based on deep learning

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Embodiment Construction

[0026] refer to figure 1 , the present invention is based on deep learning method for determining the position of the aurora egg, comprising the following steps:

[0027] Step 1: Obtain the Aurora Oval image set.

[0028] From the ultraviolet auroral images taken by the ultraviolet auroral imager carried by the Polar satellite, the auroral oval images from December 1996 to February 1997 were selected, and the relatively complete images of the auroral oval area were selected from them. With the movement of the Polar satellite, the The shooting angle of the ultraviolet auroral imager changes, so that the images taken by it have defects in the auroral egg area, and these incomplete auroral egg images are eliminated, and finally the images with the complete auroral egg are obtained to form the auroral egg image set.

[0029] Step 2, perform image segmentation on the images in the Aurora egg image set.

[0030] refer to figure 2 , the specific implementation of this step is as ...

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Abstract

The invention discloses a deep learning method for determining the position of an aurora egg, which mainly solves the problem of inaccuracy existing in the existing method for determining the position of an aurora egg. The steps are: (1) selecting a complete aurora egg image from ultraviolet aurora images Constitute the aurora egg image set; (2) use the shape information and the maximum similarity area merging criterion to segment the original image; (3) use the geomagnetic coordinate information of the image to perform coordinate transformation on the segmented image; (4) according to the transformation Obtain the equatorial and polar boundary point coordinates of the aurora egg from the final image; (5) use the shooting time of the images in the aurora egg image set to construct a database of geomagnetic physical parameters at the corresponding moment of the aurora egg; The physical parameters are input into the deep learning network to determine the position of the aurora egg. The invention improves the accuracy of determining the position of the aurora egg, and can be used to study the influence of 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62
Inventor 韩冰高新波王平刘慧李洁张丽霞王秀美王颖
Owner XIDIAN UNIV
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