【摘要】：本文研究了基于像素灰度差值計(jì)算的LBP算子和基于梯度比率的LGRP算子等局部二值模式。首先介紹了基本LBP算子和其他幾種LBP算子的變形模式,并通過(guò)光學(xué)圖像和實(shí)測(cè)SAR圖像對(duì)LBP算子進(jìn)行性能評(píng)估。針對(duì)LBP對(duì)SAR圖像乘性噪聲敏感的問題,利用梯度比率計(jì)算的LGRP算子,并結(jié)合旋轉(zhuǎn)不變LBP的抗旋轉(zhuǎn)性,本文提出了一種改進(jìn)的SAR圖像LGRP特征,獲得了對(duì)SAR圖像的抗噪性和抗旋轉(zhuǎn)性能。實(shí)驗(yàn)結(jié)果表明,由本文方法提取的SAR圖像局部特征具有較好的不變性,可用于姿態(tài)角變化下的目標(biāo)識(shí)別與圖像紋理切片匹配。
[Abstract]:In this paper, the local binary modes such as LBP operator based on pixel gray difference calculation and LGRP operator based on gradient ratio are studied. Firstly, the basic LBP operator and several other LBP operators are introduced, and the performance of the LBP operator is evaluated by optical images and measured SAR images. Aiming at the problem that LBP is sensitive to multiplicative noise of SAR image, using the LGRP operator calculated by gradient ratio and the anti-rotation property of rotation-invariant LBP, an improved LGRP feature of SAR image is presented in this paper. The anti-noise and anti-rotation performance of SAR images are obtained. The experimental results show that the local features of SAR images extracted by this method have good invariance and can be used for target recognition and image texture slice matching under the change of attitude angle.
【作者單位】： 國(guó)防科技大學(xué)電子科學(xué)與工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61401477)
【分類號(hào)】：TN957.52

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1 項(xiàng)德良;粟毅;趙凌君;唐濤;陸軍;;一種基于局部梯度比率特征度量SAR圖像相似性的新方法[J];電子學(xué)報(bào);2014年01期

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本文編號(hào)：2383940