[1]XU Kele,TANG Tao,JIANG Yongmei.A stable feature point extraction approach for SAR image registration[J].CAAI Transactions on Intelligent Systems,2013,8(4):287-298.[doi:10.3969/j.issn.1673-4785.201304038]
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A stable feature point extraction approach for SAR image registration

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 4 Page number: 287-298 Column: 学术论文—机器学习 Public date: 2013-08-25
Title:
A stable feature point extraction approach for SAR image registration
Author(s):
XU Kele;  TANG Tao;  JIANG Yongmei
School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Keywords:
SAR;  image registration;  feature extraction;  SIFT;  Gabor filter
CLC:
TP751.1
DOI:
10.3969/j.issn.1673-4785.201304038
Abstract:
For the automatic registration of a synthetic aperture radar(SAR) image, we propose a feature point extraction approach. First, by examining the logarithmic transform for the grey level of the SAR image, it was discovered that the multiplicative noise can be transformed into the additional noise. Then the scale space of the image was constructed by substituting multiscale Gabor filter for Gaussian filter, which reveals the SAR image still has details better in a low scale, and increases the number of extracted feature points. Further, the double thresholds for contrast ratio are set up to discard the false feature point effectively, thereby increasing the precision and speed of SAR image registration. The results of the experiments demonstrate the applicability of approach to find feature points for stable SAR image registration.
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