POCS (Projections Onto Convex Sets) super-resolution reconstruction-based SAR (Synthetic Aperture Radar) image target recognition method

A technology of synthetic aperture radar and super-resolution reconstruction, which is applied in character and pattern recognition, instruments, computer components, etc. It can solve the problems of lengthening synthetic aperture length, increasing signal bandwidth, motion compensation and imaging processing difficulties, etc. , to achieve the effect of improving accuracy and resolution

Inactive Publication Date: 2014-06-18
ZHEJIANG UNIV OF TECH
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Problems solved by technology

For synthetic aperture radar systems, in order to obtain high-resolution images, it is necessary to increase the signal bandwidth and lengthen the synthe

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  • POCS (Projections Onto Convex Sets) super-resolution reconstruction-based SAR (Synthetic Aperture Radar) image target recognition method
  • POCS (Projections Onto Convex Sets) super-resolution reconstruction-based SAR (Synthetic Aperture Radar) image target recognition method
  • POCS (Projections Onto Convex Sets) super-resolution reconstruction-based SAR (Synthetic Aperture Radar) image target recognition method

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with drawings and embodiments.

[0029] refer to figure 1 and figure 2 , a synthetic aperture radar image target recognition method based on convex set projection super-resolution reconstruction, including the following steps:

[0030] Step 1, image preprocessing is performed on the original SAR target images of the same type and different azimuth angles collected from a series of unknown targets;

[0031] Step 2, select M SAR target images under different azimuth angles as low-resolution images, and the target azimuth angle interval of these SAR target images should not be greater than 30°, and M≥4;

[0032] Step 3, select one of the low-resolution images as a reference image, and use the bi-cubic interpolation algorithm to construct it into a reference frame whose resolution is twice the original resolution, as an initial estimate of the super-resolution image;

[0033] Step 4, set the number of ...

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Abstract

The invention provides a POCS (Projections Onto Convex Sets) super-resolution reconstruction-based SAR (Synthetic Aperture Radar) image target recognition method, which comprises the following steps: 1) carrying out image pretreatment on collected SAR target images; 2) selecting a plurality of SAR target images of the same target at different azimuths as low-resolution images; 3) constructing reference frames of which the resolution is two times the original resolution by adopting a bicubic interpolation algorithm; 4) carrying out POCS super-resolution reconstruction on the low-resolution images, so as to obtain super-resolution SAR images; 5) carrying out feature extraction on the reconstructed super-resolution SAR images by adopting two-dimensional discrete wavelet decomposition and principal component analysis; 6) carrying out classification and recognition on extracted features by adopting an SVM (support vector machine), and thus judging the type and model of the SAR target images.

Description

technical field [0001] The invention relates to the fields of image processing, pattern recognition and the like, in particular to the fields of synthetic aperture radar image processing and target recognition. Background technique [0002] Synthetic Aperture Radar (SAR) image target recognition is a key step in SAR image processing and interpretation, and has important application value in both civilian and military fields. SAR image target recognition is the process of detecting, locating and distinguishing the type and model of the target on the acquired SAR image containing the target. Assuming that the target in a SAR image has been detected and its position has been determined, the slice image containing the target can be extracted from the image to identify its type and model. In practical applications, the higher the radar resolution, the clearer the image obtained and the higher the target recognition rate. Therefore, improving the image resolution is the key to im...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 宦若虹潘赟王楚郭峰
Owner ZHEJIANG UNIV OF TECH
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