Vertical measurement ionogram E area trace automation interpretation method based on image processing

Abstract

The invention provides a vertical measurement ionogram E area trace automation interpretation method based on image processing. The method comprises the following steps of a, segmenting an E area and an F area of a vertical measurement ionogram; b, detecting an E area candidate trace area; c, eliminating a non-trace area; d, based on a trace diffusion characteristic, dividing the trace into four types, wherein a first type is an E layer, an E2 layer, an I type, an f type, a c type, an h type, an r type, a k type and an n type whose diffusion degree is small, a second type is the E layer, an E2 layer, an I type, an f type, a c type, an h type, an r type, a k type and an n type whose diffusion degree is large, a third type is an Es layer a type, a q type and an s type, and a fourth type is mixing of a straight line trace and an s type trace; e, merging trace areas of the third type; f, carrying out type identification and measurement on four types of traces respectively; and g, acquiring an E area parameter. By using the method in the invention, all the types of existing Es layer traces are comprehensively considered. And the method is a comprehensive ionogram E trace identification method.

Description

technical field [0001] The invention relates to the field of automatic measurement of the vertical ionogram, in particular to an image processing-based automatic interpretation method for the E-zone tracing of the vertical ionogram. Background technique [0002] As a "mirror of solar activity" and a "magnifying glass of atmospheric disturbance", the study of the ionosphere has extremely important academic significance and socio-economic value. At present, various ionospheric detection methods have been developed in various countries in the world, among which ionospheric vertical detection is the oldest ionospheric research and is still widely used on the ground conventional detection method of ionosphere. With the development of ionospheric detection technology, the amount of detection data has become very large, and higher requirements have been put forward for the timeliness of detection data processing. The mode of manual measurement of ionospheric parameters can no longe...

AI Technical Summary

Problems solved by technology

There are defects in the existing technology, and misclassification will occur for ionograms with tracing gaps and deformations in the F layer: there is no type identification and measurement involving E-region traces; E-region trace detection is performed on the preprocessed ionograms, Can cause aggregated noise to be mistaken for traces

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