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SAR ATR method based on multicore optimization

An automatic target recognition, synthetic aperture radar technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problem of large impact on the recognition effect

Active Publication Date: 2014-09-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide a method to obtain the kernel function coefficients with optimization, to overcome the problem that the selection of different kernel function parameters in the kernel method has a great influence on the recognition effect, and to improve the quality of SAR images. recognition rate, with good stability and higher practical value based on multi-core optimized synthetic aperture radar automatic target recognition method

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[0048] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protected content of the present invention is not limited to the following description.

[0049] In order to describe content of the present invention conveniently, at first the following terms are explained:

[0050] Definition 1. Manifold: Let M be a Hausdorff space. If any point x belongs to M, there is a neighborhood U of x in M ​​that is homeomorphic to m-dimensional Euclidean space R m An open set of , then M is said to be an m-dimensional manifold.

[0051] Definition 2, eigenvalue and eigenvector: Let A be an n-order square matrix, if there is a number λ and an n-dimensional non-zero vector α such that Αα=λα, then λ is called an eigenvalue of the square matrix A, and α is the square matrix A An eigenvector corresponding to the eigenvalue λ.

[0052] Definition 3. Semi-positive definite programming: For ...

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Abstract

The invention discloses an SAR ATR method based on multicore optimization. The SAR ATR method based on multicore optimization includes the following steps that 1, SAR images are preprocessed; 2, a kernel function weight vector beta is fixed, a projection matrix coefficient vector alpha is optimized, and an optimized target equation J alpha is obtained; 3, the projection matrix coefficient vector alpha is fixed, the kernel function weight vector beta is optimized, and a target function J beta is obtained; 4, the step 2 and the step 3 are carried out repeatedly until the J alpha and the J beta are equal and keep changeless, and the alpha and the beta are obtained; 5, samples in a high-dimensional space are mapped into a feature space through projection, and image features of a training sample set and image features of a test sample set are obtained respectively; 6, a nearest neighbor classifier is adopted for classification and recognition. Coefficients of a kernel function are obtained according to the optimization method, the problem that selection of different kernel function parameters largely affects a recognition effect in a kernel method is solved, the recognition rate of the SAR images is improved, and the SAR ATR method based on multicore optimization has good stability and higher practical value.

Description

technical field [0001] The invention relates to a synthetic aperture radar automatic target recognition method based on multi-core optimization, which belongs to the field of synthetic aperture radar signal processing. Background technique [0002] Synthetic Aperture Radar (SAR) is widely used in civil and military fields because of its all-time, all-weather and high-resolution imaging characteristics. However, due to the inherent characteristics of the SAR imaging system, the obtained SAR image is very different from the optical image, which makes target recognition difficult; in addition, with the current requirements for large-scale coverage of the reconnaissance system, a large amount of SAR image data needs to be processed, resulting in Difficulty in quick identification. For these problems, relying only on manual interpretation, its correctness and efficiency cannot meet the actual needs. Therefore, it is necessary to find an accurate and fast SAR image target interp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
Inventor 黄钰林韩昊刘晓佳裴季方武俊杰杨建宇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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