The Object Recognition Algorithm Based on Local Gradient Ratio Feature Measurement

Yuantao Chen; Jingwen Zuo; Kang She; Zhiwu Xiang; Zhongyuan Wang

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The Object Recognition Algorithm Based on Local Gradient Ratio Feature Measurement

机译：基于局部梯度比特征测量的目标识别算法

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摘要

For the speckle noise and local image gradient characteristics in SAR image coherent, the paper has proposed a local gradient ratio feature similarity criterion based on the gradient ratio. Firstly, it extracts features of each image pixel of SAR image, then constructs the Local Gradient Ratio Feature Measurement (LGRFM), and further analyzes multi-scale LGRFM and the K-L distance definition of similarity calculation of multi-scale LGRFM. The SAR image simulation and real image simulation are based on the experimental results. The similarity to SAR image with speckle noise and local gradient ratio feature is not sensitive to change. It can be applied in SAR image for object recognition.

机译：针对SAR图像相干中的斑点噪声和局部图像梯度特征，提出了一种基于梯度比的局部梯度比特征相似性判据。首先提取SAR图像中每个图像像素的特征，然后构造局部梯度比特征量度（LGRFM），进一步分析多尺度LGRFM和多尺度LGRFM相似度计算的K-L距离定义。 SAR图像模拟和真实图像模拟均基于实验结果。与具有斑点噪声和局部梯度比特征的SAR图像的相似度对变化不敏感。它可以应用于SAR图像中以进行目标识别。

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来源
《Journal of information and computational science》 |2015年第12期|4689-4695|共7页
作者
Yuantao Chen; Jingwen Zuo; Kang She; Zhiwu Xiang; Zhongyuan Wang;
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作者单位

School of Computer and Communication Engineering, Changsha University of Science & Technology Changsha 410114, China;

College of Chengnan, Changsha University of Science & Technology, Changsha 410015, China;

College of Chengnan, Changsha University of Science & Technology, Changsha 410015, China;

College of Chengnan, Changsha University of Science & Technology, Changsha 410015, China;

College of Chengnan, Changsha University of Science & Technology, Changsha 410015, China;

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正文语种 eng
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关键词
SAR Image; Local Gradient Ratio Feature Measurement; Similarity Calculation; Object Recognition;

机译：SAR图像;局部梯度比特征测量;相似度计算;物体识别;

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The Object Recognition Algorithm Based on Local Gradient Ratio Feature Measurement

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