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A Method of Synthetic Aperture Radar Automatic Target Recognition

A technology of automatic target recognition and synthetic aperture radar, which is applied in character and pattern recognition, radio wave reflection/re-radiation, measurement devices, etc., and can solve the problems of SARATR high-dimensional data extraction, etc.

Active Publication Date: 2015-08-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] In order to solve the problem that the feature information that is beneficial to recognition cannot be extracted from high-dimensional data in the feature extraction of SAR ATR, the present invention proposes a synthetic aperture radar automatic target recognition method based on manifold theory

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  • A Method of Synthetic Aperture Radar Automatic Target Recognition
  • A Method of Synthetic Aperture Radar Automatic Target Recognition
  • A Method of Synthetic Aperture Radar Automatic Target Recognition

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Embodiment Construction

[0072] Such as figure 1 , the specific implementation steps of the present invention are as follows:

[0073] Step 1. Initialize

[0074] Let the SAR image training sample set be expressed as a matrix X=(x 1 ,x 2 ,...,x N )∈R m×N , where N=698 represents the number of training samples in this group, each training sample x i The dimension of is m×1, m=3721, m is the number of pixels of the SAR image, i∈{1,2,...,698}, R represents the set of real numbers. At the same time, it is assumed that the category label set of the training sample is expressed as a matrix Y=(y 1 ,y 2 ,...,y 698 ), where y i is the training sample x i category label, 8 Let the SAR image test sample set be expressed as a matrix X'=(x' 1 , x′ 2 ,...,x′ N′ ∈R m×N′ , where N'=1365 represents the number of test samples in this group, and each test sample x' t The dimension of is m×1 dimension, t∈{1,2,...,1365}, t is the label of the test sample.

[0075] Step 2. Construct the similarity matrix ...

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Abstract

The invention discloses a method for automatic target recognition of an SAR. The automatic target recognition of the SAR mainly comprises three steps such as SAR image preprocessing, feature extraction and target classification, and the method is applicable to feature extraction and target classification of the automatic target recognition of the SAR and solves the problem that effective identification information can not be extracted from high-dimensional SAR images. According to the method for the automatic target recognition of the SAR, a manifold structure theory is introduced, and the method is based on a neighborhood identification embedding criterion. The method comprises the steps of A, initializing; B, constructing a similarity matrix and a difference matrix; C, calculating a target matrix on the basis of a maximum margin criterion; D, calculating a projection matrix; E, conducting feature extraction on training samples according to the projection matrix to obtain training sample features; E, conducting feature extraction on SAR images to be classified to obtain test sample features; and F, classifying SAR images to be tested according to a nearest neighbor classifier, wherein Step A-Step E belong to the feature extraction phase, and Step F belongs to the target classification phase. By the aid of the method, the probability of correct identification of targets can be improved.

Description

Technical field: [0001] The invention belongs to the field of synthetic aperture radar (Synthetic Aperture Radar, SAR for short), and particularly relates to the field of feature extraction and target classification of SAR images in automatic target recognition (Automatic Target Recognition, ATR). Background technique: [0002] As we all know, SAR automatic target recognition is an important application aspect of SAR imaging. It integrates modern signal processing technology and pattern recognition theory, and uses computers to automatically analyze the collected information to complete the discovery, positioning, and identification of targets. This enables ATR technology to provide information such as target attributes and categories. Through the SAR ATR technology, the interference information and target redundant information in the SAR image can be removed, and the identification features of the target can be extracted, which not only improves the ability to identify unkn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G01S13/90
Inventor 黄钰林王兵杨建宇王涛武俊杰李文超刘娴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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