Title :
A Subspace Method for Fourier-Based Image Registration
Author :
Xu, Min ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY
fDate :
7/1/2009 12:00:00 AM
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.
Keywords :
Fourier transforms; geophysical signal processing; image classification; image registration; remote sensing; Fourier-based image registration; computational complexity; frequency estimation problem; multiple signal classifier algorithm; remote-sensing applications; subspace method; Fourier-based image registration; multiple signal classifier (MUSIC); subspace methods;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2018705