SAR target identification method based on scattering point and K-center one-class classifier

A technology of target identification and scattering points, which is applied in the field of identification of man-made targets, can solve the problem of low total correct rate of identification, achieve the effect of improving the total correct rate and reducing the false alarm rate

CN104680183AActive Publication Date: 2015-06-03XIDIAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2015-06-03

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Abstract

The invention discloses an SAR target identification method based on a scattering point and a K-center one-class classifier, and mainly overcomes the defects that in the prior art the difference of a target from a clutter false-alarm is not revealed in the view of the nature of radar imaging, and the total identification accuracy rate is low. According to the technical scheme, the SAR target identification method comprises the following steps: 1) detecting the clutter false-alarm of an SAR image, and extracting sections; 2) selecting sections with real targets from the extracted sections, thereby forming a training sample; 3) extracting a scattering point matrix from the training sample according to a scattering point model, and performing amplitude 2-norm normalization; 4) performing K-center clustering on the scattering point matrix of the training sample, thereby obtaining a cluster center; 5) calculating an identification threshold Thr of the K-center one-class classifier; 6) calculating the minimum bidirectional Hausdorff distance of a testing sample and the cluster center; 7) judging whether the testing sample is a target or not according to the distance. Through the adoption of the SAR target identification method, the false-alarm rate of clutter false-alarm is reduced, the total identification accuracy rate is effectively increased, and the SAR target identification method is applicable to artificial targets such as vehicles with remarkable strong scattering point distribution characteristics in SAR images.
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Description

technical field

[0001] The invention belongs to the technical field of radar and relates to a target detection and identification method, which can be used for identification of man-made targets with significant distribution characteristics of strong scattering points, such as vehicles, in SAR images. Background technique

[0002] Radar imaging technology was developed in the 1950s, and developed by leaps and bounds in the next 60 years. At present, it has been widely used in military, agriculture, forestry, geology, ocean, disaster, surveying and mapping and many other fields. Synthetic aperture radar (SAR) has the characteristics of all-weather, all-time, high resolution and strong penetrating power, and has become an important means of earth observation and military reconnaissance.

[0003] SAR image interpretation is the frontier topic of current SAR application, and it is also a hot field of earth observation technology application in recent years, which has important r...

Examples

Embodiment Construction

[0023] The technical solutions and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0024] refer to figure 1 , the realization of the present invention comprises training phase and testing phase, and detailed steps are as follows:

[0025] 1. Training stage

[0026] Step 1: Perform constant false alarm detection on the SAR image I to obtain a binary image C.

[0027] refer to figure 2 , the specific implementation of this step is as follows:

[0028] (1a) Suppose the maximum length of the target is l, and the range resolution and azimuth resolution of the radar are ρ r , ρ a , then the maximum length l of the target in the SAR image r and a maximum width l a They are: with Select the warning window length L > 2 l r 2 + l a 2 ...