Synthetic aperture radar image target recognition method implemented based on GPU

A synthetic aperture radar and target recognition technology, applied in the field of radar image target recognition, can solve the problem of poor real-time performance of the target recognition algorithm, and achieve the effect of efficient computing power

Active Publication Date: 2017-10-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0004] The present invention provides a synthetic aperture radar image target recognition method based on...

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  • Synthetic aperture radar image target recognition method implemented based on GPU
  • Synthetic aperture radar image target recognition method implemented based on GPU
  • Synthetic aperture radar image target recognition method implemented based on GPU

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[0042] Below in conjunction with accompanying drawing, describe technical scheme of the present invention in detail

[0043] In order to verify the GPU's effective acceleration of the SAR target recognition algorithm, the unified hardware environment and the computing time on the development platform are used as indicators for comparison to ensure that the variables are single. The GPU model is NVIDIA GeForce GTX 750Ti, which has 512 CUDA processor cores and 1G video memory. The CPU model is Intel Core i7-4790, 3.60GHz, 16.0G memory. The experimental operating system is 64-bit Windows7. The CUDA version is CUDA7.5. The programming environment is Visual Studio2010, and the programming language is CUDA C language.

[0044] In addition, the experimental data uses MSTAR image data, and now a brief introduction to MSTAR is given.

[0045] The MSTAR (Moving and Stationary Target Acquisition Recognition) project was launched in 1994. It is a SAR ATR subject jointly researched by ...

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Abstract

The invention belongs to the field of radar image target recognition technology and particularly relates to a synthetic aperture radar image target recognition method implemented based on a GPU. Along with development of the SAR imaging technology, the resolution and data size of an SAR image are both increased rapidly, and therefore traditional PCA methods based on CPU serial computation are excessively low in efficiency and excessively high in computation cost. According to the method, efficient computation capability of GPU general purpose computation is utilized to perform parallel analysis on PCA feature extraction methods, and GPU parallel improvement is performed on a matrix multiplication method, a Jacobi feature decomposition method, a reduction maximum value solving method and other methods with high parallelism.

Description

technical field [0001] The invention belongs to the technical field of radar image target recognition, and in particular relates to a GPU-based synthetic aperture radar image target recognition method. Background technique [0002] Synthetic Aperture Radar (hereinafter referred to as SAR) image automatic target recognition (Automatic Target Recognition, ATR) technology refers to the detection and positioning of targets from a large scene without human assistance, and realizes the model of the target. , attributes and equipment. At present, there are many methods used in SAR target recognition, and there are many methods in feature extraction and classifier design, and each has its own advantages and disadvantages. However, compared with these fruitful theoretical achievements, the technical realization and practical application research of SAR target recognition are relatively slow, and the practical SAR target detection and recognition systems are still few or immature. O...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/2135G06F18/24
Inventor 曹宗杰夏爽崔宗勇皮亦鸣
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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