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Synthetic aperture radar image target identification method based on multi-parameter spectrum feature

A synthetic aperture radar and target recognition technology, applied in the field of image processing, can solve the problem of increasing the overall target recognition time, etc., and achieve the effect of high recognition rate, good robustness, and improved recognition accuracy

Inactive Publication Date: 2009-10-21
XIDIAN UNIV
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This will increase the overall target recognition time

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  • Synthetic aperture radar image target identification method based on multi-parameter spectrum feature
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  • Synthetic aperture radar image target identification method based on multi-parameter spectrum feature

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Embodiment Construction

[0031] refer to figure 1 , the specific implementation steps of the present invention include:

[0032] Step 1. Preprocess the 17° top view images selected from the MSTAR database to obtain a preprocessed training sample set.

[0033] The specific process to realize this step is as follows:

[0034] 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 the RTR70 armored vehicle with different azimuths, figure 2 (i), figure 2 (j), figure 2 (k), figure 2 (l) is a T72 tank with different azimuths;

[0035] 1b) Cut out a sub-image of 60×60 in the center from the selected 128×128 original image;

[0036] 1c) Normalize all sub-images respectively. Commonly used normalization methods include standard deviation normalization...

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Abstract

The invention discloses a synthetic aperture radar image target identification method based on multi-parameter spectrum feature, aiming at solving the low SAR image target identification rate problem of the current method. The method comprises the steps of carrying out pretreatment on the selected image of the known category information and the image to be tested to obtain a training set and a testing set; respectively calculating the scale parameters of all the training sample points and the testing sample points; respectively calculating the multi-parameter affinity matrix of the training set and the testing set by using the obtained scale parameters; respectively constructing Laplacian matrixes of the training set and the testing set with the multi-parameter affinity matrix; carrying out feature decomposition on the Laplacian matrix of the training set to obtain a corresponding projection matrix; respectively projecting the training sample and the testing sample to the space stretched by the projection matrix to obtain a new training set and a new testing set; inputting the new training set and the testing set into a support vector machine for category identification to obtain the category information of the tested image. The invention has the advantage of high identification rate and can be used for identifying 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 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 more and more popular. much 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 Projects Agency and Space Laboratory, it has pl...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06K9/36G01S13/90
Inventor 焦李成张向荣周斯斯侯彪王爽马文萍缑水平张莉
Owner XIDIAN UNIV
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