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Descripción
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| This article presents a method for the determination of the relative misregistration between two interferometric synthetic aperture radar (InSAR) images. Classical coregistration techniques are based on the maximization of the crosscorrelation coefficient, i.e. the maximum likelihood (ML) estimate of the coherence magnitude. This paper proposes an efficient algorithm to solve the coherence maximization with high accuracy, reducing the computational complexity of the classical techniques based on oversampled data. Furthermore, several coherence estimators have been proposed in the literature in addition to the ML estimate. This paper evaluates the behaviour of the algorithm using three different coherence magnitude estimators as the kernel of the optimization problem. The discrete Fourier transform (DFT) is exploited to formulate the algorithm and to explain the necessity to register the images with subpixel accuracy. The performance of the technique has been proved over simulated data of a high resolution millimeter-wave InSAR system that is currently under development. | |
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Internacional
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No |
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Nombre congreso
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XXIII Simposium Nacional de la Unión Científica Internacional de Radio. URSI 2008. |
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Tipo de participación
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960 |
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Lugar del congreso
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Madrid, España |
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Revisores
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Si |
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ISBN o ISSN
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978-84-612-6291-5 |
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DOI
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Fecha inicio congreso
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22/09/2008 |
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Fecha fin congreso
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24/09/2008 |
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Desde la página
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1 |
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Hasta la página
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4 |
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Título de las actas
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Actas del XXIII Simposium Nacional de la Unión Científica Internacional de Radio. URSI 2008. |