A Novel Method of Multispectral Imagery Registration Based on Minor and Noise Component Criterion

For multispectral imagery, spatial registration between bands is a very important part of the overall quality of the multispectral imagery product. In this paper, a multispectral imagery registration method is presented. It takes minor and noise component of sample covariance matrix as measure crite...

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Bibliographic Details
Published inProcedia engineering Vol. 29; pp. 2859 - 2863
Main Authors Jinhui, Cui, Xuesong, Yang
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2012
Subjects
minor and noise component criterion
multispectral imagery
registration
multispectral imagery
registration
minor and noise component criterion
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Summary:For multispectral imagery, spatial registration between bands is a very important part of the overall quality of the multispectral imagery product. In this paper, a multispectral imagery registration method is presented. It takes minor and noise component of sample covariance matrix as measure criterion, utilizes mutual information method to create registration seed sources, uses smooth filter to extend trapping width of registration curve. Experiments were conducted using multispectral imagery from the ETM Satellite. Control points optimal searching experiments show that the presented method can improve the efficiency and accuracy of multispectral imagery registration greatly.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2012.01.404