A subspace method for fourier-based image registration

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23 Scopus citations

Abstract

Image registration is the process of estimating the misalignment between two images. Automatic image registration procedures are important in many remote-sensing applications. A popular approach for coarse registration is Fourier based. Fourier-based image registration is essentially a frequency estimation problem in the frequency domain of the image data. This letter studies the application of a subspace-based frequency estimation approach for the Fourier-based image registration problem. By employing the Multiple Signal Classifier algorithm, a more robust and accurate registration result is achieved at the expense of moderate computational complexity. In the examples considered, performance for registration of remote-sensing images using this method is comparable to a mutual information-based and a correlation-based registration algorithm but requires less computation.

Original languageEnglish (US)
Article number4909015
Pages (from-to)491-494
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume6
Issue number3
DOIs
StatePublished - Jul 1 2009

Keywords

  • Fourier-based image registration
  • Multiple signal classifier (MUSIC)
  • Subspace methods

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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