Aerial target identification method and system based on improved decision tree

Abstract

The invention discloses an air target recognition method based on an improved decision tree, and the method comprises the steps of constructing a target navigation track data set which is divided intoa training set and a test set; performing feature extraction, refinement and discretization processing on the training set and the test set; constructing a target classification decision-making treeby adopting a C4.5 decision-making tree algorithm based on the processed training set; inputting the processed test set into a target classification decision tree, performing hierarchical judgment along the root node according to the target classification decision tree until the target type of the leaf node is used as a target identification result of the position point, and adding 1 to the support degree of the type used as the identification result; traversing all position points of the target navigation track in the processed test set, counting recognition results, and taking the recognition result with the highest support degree as a final target recognition result of the target navigation track. The invention further discloses an aerial target recognition system based on the improveddecision tree. According to the invention, the behavior mode in the target historical movement track can be effectively mined.

Description

technical field [0001] The invention belongs to the technical field of machine learning, and in particular relates to an air target recognition method and system based on an improved decision tree. Background technique [0002] With the continuous development of modern aircraft technology, the types of spacecraft performing various combat missions are increasing. In modern warfare, timely and accurate identification of high-value air targets on the battlefield can ensure full control of the battlefield situation, and is conducive to real-time analysis and judgment of the battlefield situation to make timely responses. [0003] The existing automatic identification methods for air targets mainly identify targets through the electromagnetic characteristics, radiation source characteristics, optical imaging characteristics or microwave imaging characteristics of the target perceived by the same or multiple sensors. The main methods are divided into three categories. Aiming at ...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the few existing researches on target recognition using the features of the target’s motion trajectory. Different methods are used to match the target’s motion trajectory with the historical trajectory, and the target is identified according to the similarity calculation results, which cannot effectively mine the historical activity trajectory of the target. In order to solve the problem of the behavior pattern of the target, a method and system for air target recognition based on the improved decision tree are proposed

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