Synthetic aperture radar target identification method based on diagonal subclass judgment analysis

Abstract

The invention provides a synthetic aperture radar target identification method based on diagonal subclass judgment analysis, which mainly solves the problem that the prior synthetic aperture radar has poor target identification performance. The method comprises the following processes: the self-adapting threshold segmentation, the morphological filtering, the geometric clustering operation and the pretreatment of image enhancement are carried out for an original image; the optimal subclass division to each target after pretreatment is carried out by adopting a two-dimension rapid global K-means clustering algorithm; the diagonal subclass judgment analysis or the diagonal subclass judgment analysis and two-dimension subclass judgment analysis are used for finding out an optimal projection matrix; training and testing images after pretreatment are projected towards the projection matrix to obtain characteristic matrixes of the training and testing images; the Euclidean distance between a testing target and the characteristic matrix of each training target is calculated, and the category attribute of the testing target is determined by adopting a nearest neighbor rule. Simulation experiments show that the invention has the advantages of good effect of inhibiting background clutter, high quality of the target image and low characteristic dimensionality and can be used in a remote sensing system.

Description

technical field [0001] The invention belongs to the technical field of radar target recognition, in particular to a synthetic aperture radar (SAR) target recognition method used in remote sensing systems. Background technique [0002] Since synthetic aperture radar (SAR) imaging is not limited by weather, light and other conditions, it can conduct all-weather and all-weather reconnaissance on targets of interest, so it is widely used in military and remote sensing fields. Due to the advantages of synthetic aperture radar SAR technology in detecting ground targets, especially ground stationary targets, it has a good application prospect in modern battlefield perception, so how to quickly and accurately understand and identify synthetic aperture radar SAR images has become more and more popular. Pay attention to. [0003] In a given scene, it usually contains both the target of interest and a large amount of background clutter. If feature extraction and recognition are perfor...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to overcome the above-mentioned deficiencies in prior art with poor target recognition performance, and propose a synthetic aperture radar target recognition method based on diagonal subclass decision analysis DiaCDA. Extract, suppress background clutter and reduce sample dimensionality to improve target recognition performance

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