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Method for synthetic aperture radar shelter from shelter from object identification based on supporting vector machine

A technology of synthetic aperture radar and support vector, which is applied in the field of image processing, can solve unreasonable problems and achieve the effect of less defects, guaranteed accuracy, and good robustness

Inactive Publication Date: 2008-03-05
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

Bhanu et al. proposed a reasonable SAR occlusion target simulation method in 1999. However, the data simulated by this method meets the needs of the recognition algorithm proposed by them, and there is still some irrationality compared with the actual SAR occlusion target.

Method used

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  • Method for synthetic aperture radar shelter from shelter from object identification based on supporting vector machine
  • Method for synthetic aperture radar shelter from shelter from object identification based on supporting vector machine
  • Method for synthetic aperture radar shelter from shelter from object identification based on supporting vector machine

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Embodiment Construction

[0042] With reference to Fig. 1, it is the realization flow diagram of the present invention, can find out that its concrete realization process is as follows from the figure:

[0043] 1. Preprocessing the input SAR target image to be identified, and obtaining the preprocessing of the ROI image of the preprocessed image can be completed in the following steps:

[0044] (1), use a median filter to denoise the input image to reduce the impact of speckle noise;

[0045] (2), the image after denoising is normalized, and the image pixel value is normalized to 0~1;

[0046] (3), carry out threshold value segmentation to image after normalization, the threshold value of segmentation is the mean value of image after normalization plus twice the standard deviation, is generally 0.8;

[0047] (4) Mathematical morphological transformation of the image after threshold segmentation: use the expansion method to fill the gaps between the segmented regions, and then corrode the region to bec...

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Abstract

The method is used for overcome the falling of the recognition rate when the shielded rate of the target is over 70%. It comprises: 1) making pretreatment for the SAR target image to be recognized to get the ROI of the processed image; searching the peak point of the target in the ROI of the processed image; for the processed ROI, removing a part of peak point of the target; using type I or type II approach to add a corresponding numbers of peak points to the ROI in order to shield the target; selecting the classifier, and training the classifier; adding the test image to the trained classifier.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to the application of the technology in the field of Synthetic Aperture Radar (SAR image target recognition), specifically a SAR occlusion target recognition method based on Support Vector Machine (SVM). This method can be used in the identification of military targets when important targets such as tanks, artillery, and bunkers are partially occluded. Background technique [0002] SAR has the ability to observe the earth's surface all-weather and all-weather, and with the improvement of signal processing technology, it has reached a very high spatial resolution, which makes SAR sensors play an increasingly important role in military reconnaissance and battlefield awareness. At present, SAR automatic target recognition is a field of great concern at home and abroad. In the identification of military targets, it is often encountered that the enemy's tanks, armored vehicles, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90G01S7/02
Inventor 王爽焦李成侯彪刘芳常霞高弋公茂果
Owner XIDIAN UNIV
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