[1]王庆,唐涛,项德良,等.基于梯度比率的SAR图像局部特征提取方法研究[J].智能系统学报,2017,12(3):286-292.[doi:10.11992/tis.201603025]
WANG Qing,TANG Tao,XIANG Deliang,et al.Research on local feature extraction of SAR images based on gradient ratio[J].CAAI Transactions on Intelligent Systems,2017,12(3):286-292.[doi:10.11992/tis.201603025]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
12
期数:
2017年第3期
页码:
286-292
栏目:
学术论文—机器感知与模式识别
出版日期:
2017-06-25
- Title:
-
Research on local feature extraction of SAR images based on gradient ratio
- 作者:
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王庆, 唐涛, 项德良, 粟毅
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国防科技大学 电子科学与工程学院, 湖南 长沙 410073
- Author(s):
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WANG Qing, TANG Tao, XIANG Deliang, SU Yi
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School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
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- 关键词:
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SAR图像; 特征提取; 局部二值模式; 梯度比率; 旋转不变
- Keywords:
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SAR image; feature extraction; local binary pattern; gradient ratio; rotation-invariant
- 分类号:
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TP751.1
- DOI:
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10.11992/tis.201603025
- 摘要:
-
本文研究了基于像素灰度差值计算的LBP算子和基于梯度比率的LGRP算子等局部二值模式。首先介绍了基本LBP算子和其他几种LBP算子的变形模式,并通过光学图像和实测SAR图像对LBP算子进行性能评估。针对LBP对SAR 图像乘性噪声敏感的问题,利用梯度比率计算的LGRP算子,并结合旋转不变LBP的抗旋转性,本文提出了一种改进的SAR 图像LGRP特征,获得了对SAR 图像的抗噪性和抗旋转性能。实验结果表明,由本文方法提取的SAR图像局部特征具有较好的不变性,可用于姿态角变化下的目标识别与图像纹理切片匹配。
- Abstract:
-
In this study, we investigate a local binary pattern (LBP) operator based on a difference calculation and a local gradient ratio pattern (LGRP) operator based on a gradient ratio. First, we introduce a basic and several other LBP operators and evaluate the performance of the LBP operators using optical image and synthetic aperture radar (SAR) image analysis. To address the problem of LBP’s sensitivity to multiplicative noise in SAR images, we use the LGRP calculator based on the gradient ratio, combined with the anti-rotation characteristics of a rotation-invariant LBP, and propose an improved rotation-invariant LGRP characteristic for SAR images. Our experimental results demonstrate that the proposed feature has good invariant performance in target recognition and image texture slice matching with changes in the angle of attitude.
备注/Memo
收稿日期:2016-03-16。
基金项目:国家自然科学基金(61401477).
作者简介:王庆,女,1990年,硕士研究生,主要研究方向为新体制雷达;唐涛,男,1980年,讲师,主要研究方向为遥感图像解译、SAR图像目标特征提取;项德良,男,1989年,博士研究生,主要研究方向为SAR图像处理。
通讯作者:王庆.E-mail:290720609@qq.com.
更新日期/Last Update:
2017-06-25