Multi-classifier system-based synthetic aperture radar automatic target recognition method

Abstract

The invention discloses a synthetic aperture radar automatic target recognition method which belongs to the target recognition field and mainly solves the problem that the space complexity of the existing synthetic aperture radar automatic target recognition technology is higher and single classifier has low recognition rate. The method comprises the following recognition steps: preprocessing, extracting characteristics, training classifiers and identifying target, wherein the step of extracting characteristics is to extract PCA characteristics of the synthetic aperture radar image, elliptic Fourier descriptor and two-dimensional Fourier transform; the step of training classifiers is based on the extracted three characteristics to separately use K-nearest neighbor method, support vector machine and MINACE filter theory to train three classifiers; and the step of identifying target is to input the extracted synthetic aperture radar image to be identified in the trained three classifiers for classification and finally adopting the Dempster-Shafer evidence theory to fuse the recognition results of the three classifiers. The method has the advantages of high recognition rate and low space complexity and can be used in the target tracking of the military or civilian field.

Description

technical field [0001] The invention belongs to the field of target recognition, in particular to automatic target recognition of synthetic aperture radar, which can be used for automatic target recognition of synthetic aperture radar in military or civilian fields. Background technique [0002] In the military field or civilian field, it is often necessary to identify the category or attribute of a target, such as a tank or a car, so as to track the target and judge its intention. Synthetic Aperture Radar Automatic Target Recognition, referred to as SAR ATR, is a technology that allows computers to identify unknown targets based on prior information. Let the computer learn a model from existing data or information, and then identify unknown targets, that is, classify, which is the problem that automatic target recognition needs to solve. Synthetic Aperture Radar (SAR), widely used because of its many excellent properties, is an important source of target information. In r...

AI Technical Summary

Problems solved by technology

Due to the use of features with fewer dimensions, this method can overcome the shortcomings of the first two methods with high space complexity, but its recognition rate is low

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