Observatorio de I+D+i UPM

Descripción
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.
Internacional	No
Nombre congreso	XXIII Simposium Nacional de la Unión Científica Internacional de Radio. URSI 2008.
Tipo de participación	960
Lugar del congreso	Madrid, España
Revisores	Si
ISBN o ISSN	978-84-612-6291-5
DOI
Fecha inicio congreso	22/09/2008
Fecha fin congreso	24/09/2008
Desde la página	1
Hasta la página	4
Título de las actas	Actas del XXIII Simposium Nacional de la Unión Científica Internacional de Radio. URSI 2008.

Esta actividad pertenece a memorias de investigación

• Autor: Mihai Datcu (German Aeroespace Center)
• Autor: Mateo Burgos Garcia (UPM)
• Autor: Jose Tomas Gonzalez Partida (UPM)

• Creador: Grupo de Investigación: Microondas y Radar
• Departamento: Señales, Sistemas y Radiocomunicaciones