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SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction

A technology of synthetic aperture radar and dimensionality reduction, applied in the field of image processing, can solve problems such as limiting the application of Fisher discriminant analysis and Fisher linear discriminant analysis

Active Publication Date: 2010-08-18
XIDIAN UNIV
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Problems solved by technology

[0006] However, both Kernel Fisher Discriminant Analysis and Fisher Linear Discriminant Analysis are based on the assumption that each type of sample is subject to a Gaussian distribution. This assumption limits the practical application of Kernel Fisher Discriminant Analysis and Fisher Linear Discriminant Analysis.

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  • SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction
  • SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction
  • SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction

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[0034] refer to figure 1 , the specific implementation steps of the present invention include:

[0035]Step 1, preprocessing the training images to obtain the preprocessed training sample set.

[0036] 1a) Select the image with a 17° overlooking angle in the MSTAR database as the training image set, such as figure 2 shown, where figure 2 (a), figure 2 (b), figure 2 (c), figure 2 (d) is a BMP2 armored vehicle with different azimuths, figure 2 (e), figure 2 (f), figure 2 (g), figure 2 (h) is a BTR70 armored vehicle with different azimuths, figure 2 (i), figure 2 (j), figure 2 (k), figure 2 (l) is a T72 tank with different azimuths;

[0037] 1b) Cut out a sub-image of 60×60 in the center from the selected 128×128 original image;

[0038] 1c) Normalize all the sub-images respectively. Commonly used normalization methods include standard deviation normalization, 2-norm normalization, maximum value normalization and mean value normalization, etc. The prese...

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Abstract

The invention discloses an SAR (Synthetic Aperture Radar) image target recognizing method based on nuclear scale tangent dimensionality reduction, which mainly solves the problem of low SAR image target recognizing rate of the traditional method. The method comprises the following steps of: preprocessing the selected image with the known class information and the image to be tested to acquire a training set and a testing set; mapping the training set to a higher dimensional space by the Gaussian kernel function, and respectively constructing an intra-class dissimilarity matrix and an extra-class dissimilarity matrix by using the mapped high dimensional feature as input, thereby acquiring a Laplacian matrix based on the nuclear scale tangent; carrying out feature decomposition on the matrix to acquire an optimal projection matrix; respectively projecting a training sample and a testing sample to a subspace formed by expansion of projection matrix vectors to acquire a new training set and a new testing set; and inputting the new training set and the new testing set into a support vector machine for classification and recognition to acquire the class information of the tested image. The method of the invention has the advantages of high recognition rate and good robustness and can be used for recognizing SAR images.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to a target recognition method, and can be applied to synthetic aperture radar SAR image target recognition and face recognition. Background technique [0002] The unique advantages of synthetic aperture radar (SAR) technology in the detection of ground targets, especially stationary targets, and its good application prospects in the fields of modern battlefield perception and ground strikes have made the automatic target recognition technology ART based on SAR images received a lot of attention. more and more attention. At present, many research institutions at home and abroad have carried out research on automatic target recognition technology for SAR images, many of which are based on moving and stationary target detection and recognition Moving and Stationary Target Acquisition and Recognition, MSTAR database, the database Provided by the U.S. Defense Advanced Research Proje...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G01S7/41G01S13/90
Inventor 焦李成张向荣缑丽敏周斯斯王爽侯彪马文萍李阳阳尚荣华
Owner XIDIAN UNIV
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