A New Algorithm for SAR Imagery Similarity Measure Based on Local Gradient Ratio Pattern

XIANG De-liang; SU Yi; ZHAO Ling-jun; TANG Tao; LU Jun

doi:10.3969/j.issn.0372-2112.2014.01.002

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A New Algorithm for SAR Imagery Similarity Measure Based on Local Gradient Ratio Pattern

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- A New Algorithm for SAR Imagery Similarity Measure Based on Local Gradient Ratio Pattern
- Acta Electronica Sinica Vol. 42, Issue 1, Pages: 9-13(2014)
- 作者机构：
  
  国防科技大学电子科学与工程学院,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61201338)
- DOI：10.3969/j.issn.0372-2112.2014.01.002
  CLC： TP753
- Published：2014
- 稿件说明：
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XIANG De-liang, SU Yi, ZHAO Ling-jun, et al. A New Algorithm for SAR Imagery Similarity Measure Based on Local Gradient Ratio Pattern[J]. Acta Electronica Sinica, 2014, 42(1): 9-13.
DOI：

XIANG De-liang, SU Yi, ZHAO Ling-jun, et al. A New Algorithm for SAR Imagery Similarity Measure Based on Local Gradient Ratio Pattern[J]. Acta Electronica Sinica, 2014, 42(1): 9-13. DOI： 10.3969/j.issn.0372-2112.2014.01.002.

摘要

本文针对SAR图像相干斑噪声和图像局部梯度特性，提出一种基于局部梯度比率特征的相似度准则.首先提取SAR图像各个像素的梯度比率特征，进而构建局部梯度比率特征直方图LGRPH，并进一步分析多尺度LGRPH，最后通过计算多尺度LGRPH的K-L距离定义相似度.基于SAR仿真和实测图像的实验结果表明，本文提出的相似度准则对SAR图像上相干斑噪声和局部梯度变化不敏感，能有效应用于SAR图像的目标识别.

Abstract

In this paper

a new similarity measure for SAR imagery based on local gradient ratio pattern is proposed.Firstly

we extract the gradient ratio pattern for each pixel.Secondly

the local gradient ratio pattern histogram(LGRPH)is computed.Finally

the similarity is obtained by utilizing K-L discrepancy to measure the distance of LGRPH.Experimental results based on simulated and real SAR images demonstrate that the proposed similarity measure is robust to the speckle noise and local gradient variation in SAR images.

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