[1]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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Research on local feature extraction of SAR images based on gradient ratio

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 3 Page number: 286-292 Column: 学术论文—机器感知与模式识别 Public date: 2017-06-25
Title:
Research on local feature extraction of SAR images based on gradient ratio
Author(s):
WANG Qing;  TANG Tao;  XIANG Deliang;  SU Yi
School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Keywords:
SAR image; feature extraction; local binary pattern; gradient ratio; rotation-invariant
CLC:
TP751.1
DOI:
10.11992/tis.201603025
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.
References:
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