Method and system for classification and recognition of ground moving vehicle targets based on high-resolution range images

Abstract

The invention relates to a ground moving vehicle target classification and recognition method and system based on a high-resolution distance image, and the method comprises the steps: carrying out the averaging and energy normalization of multiple collected continuous original HRRP echoes of a ground moving vehicle target; calculating the HRRP echo power spectrum features according to the HRRP echoes after averaging and energy normalization; calculating the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates, and obtaining a plurality of distances; comparing the distances, and determining the class of the ground moving vehicle target according to a comparison result. The method calculates the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates through a nearest neighbor classifier, recognizes the class information of the ground moving vehicle target through comparing the distances between the HRRP echo power spectrum features and various types of preset power spectrum feature templates, achieves the precise classification and recognition of the ground moving vehicles, and provides support for the classification and recognition of military moving vehicles on the ground.

Description

technical field [0001] The invention relates to the technical field of vehicle recognition, in particular to a method and system for classifying and recognizing ground moving vehicle targets based on high-resolution range images. Background technique [0002] For ground moving vehicle targets, due to different combat tasks and different environmental requirements in the modern battlefield environment, the combat tasks undertaken by various vehicles are different, which also determines the degree of threat. Therefore, various vehicles in the battlefield environment are analyzed. Classification recognition is of great value to ground reconnaissance, battlefield situation awareness, threat assessment, command decision-making and precision strike in modern warfare. [0003] In a low-resolution radar system, the target vehicle only occupies one or a few range units, and it is difficult to obtain information supporting target classification due to the influence of ground clutter. ...

AI Technical Summary

Problems solved by technology

[0004] Due to the limitation of resolution, low-resolution radar can only roughly divide ground moving targets into two categories: wheeled vehicles and tracked vehicles, and it is difficult to achieve specific identification of target models

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