Aerial target classification method based on wind field disturbance characteristics

Abstract

The invention relates to an aerial target classification method based on wind field disturbance characteristics. The method includes steps of resolving wind field disturbance characteristics; accurately extracting the wind field disturbance characteristic parameters of trailing vortex core position, vortex core radius, vortex core spacing and vortex circulation by an algorithm for resolving wind field disturbance characteristics of an aerial target; inversing type identification characteristics; inversing to obtain type identification characteristic parameters of target track characteristics, physical characteristics and motion characteristics by an algorithm of inversing the type identification characteristics of the aerial target; identifying attribute of the aerial target; and outputting the type attribute of a plane target to be identified by inputting the type identification characteristic parameters of the plane target to be identified. Extraction of wind field disturbance characteristics of the aerial target is achieved, inversion of the wind field disturbance characteristics to target characteristics is achieved, and the aerial plane target is classified and identified on the basis of laser radar detection for specific airspace atmospheric wind fields.

Description

technical field [0001] The invention relates to the technical field of object classification, in particular to an air object classification method based on wind field disturbance characteristics. Background technique [0002] Air target attribute recognition has inherent shortcomings such as non-cooperation, little prior knowledge, and lack of sample data. Especially for some low-detectable targets, its target feature information is difficult to obtain accurately, and it encounters the bottleneck of "limited feature information acquisition". problem. Although many achievements have been made in the field of automatic identification of air targets at home and abroad, the automatic classification and identification of air targets still needs to be further explored. However, the disturbance characteristics of air target wind field are closely related to other characteristics such as target weight, wingspan and flight speed. Therefore, based on the laser detection of wind fiel...

AI Technical Summary

Problems solved by technology

[0002] Air target attribute recognition has inherent shortcomings such as non-cooperation, little prior knowledge, and lack of sample data. Especially for some low-detectable targets, its target feature information is difficult to obtain accurately, and it encounters the bottleneck of "limited feature information acquisition". problem

Although many achievements have been made in the field of automatic identification of air targets at home and abroad, the automatic classification and identification of air targets still needs to be further explored.

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