Automatic remote sensing image registration based on VTS-PCMIC algorithm

This paper proposes a new remote sensing image algorithm based on virtual triangle similarity, position control and mutual information constraint (VIS-PCMIC), aiming at the optical image automatic registration of affine transformation. This algorithm can be simply defined into three steps. Firstly,...

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Bibliographic Details
Published in2012 9th International Conference on Fuzzy Systems and Knowledge Discovery pp. 48 - 52
Main Authors Ting Yu, Xiaorun Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
Algorithm design and analysis
Equations
Feature extraction
Image registration
Mathematical model
Mutual information
Position control
Remote sensing
virtual triangle
Online AccessGet full text
ISBN9781467300254
146730025X
DOI10.1109/FSKD.2012.6233726

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Summary:This paper proposes a new remote sensing image algorithm based on virtual triangle similarity, position control and mutual information constraint (VIS-PCMIC), aiming at the optical image automatic registration of affine transformation. This algorithm can be simply defined into three steps. Firstly, the initial matching feature points and transformation model parameters are obtained according to the similarity principles of the virtual triangles, which are composed by corner features extracted by Harris operator in the pair of images to register. Secondly, with the utilization of position control search strategy and mutual information similarity measure, more corresponding feature points are extracted. Thirdly, the deeply optimized affine transformation model parameters are estimated by connecting the control points and the weighted least squares optimization algorithm together. Experimental results demonstrate the effectiveness and accuracy of the proposed method.
ISBN:9781467300254
146730025X
DOI:10.1109/FSKD.2012.6233726