A technique to provide interferometry by combining multiple images of the same area is proposed. This technique exploits all the images jointly and performs an optimal spectral shift preprocessing to remove most of the decorrelation for distributed targets. Its applications are mainly for DEM generation at centimetric accuracy, and for differential interferometry. The major requirement is that targets are coherent over all the images: this may be the case for current multi-pass over desert areas, or better for the case of images coming from future short revisit time systems (constellations, cart-wheel, geosynchronous SAR etc.).

Maximum likelihood multi-baseline SAR interferometry

Fornaro G;Pauciullo A;
2006

Abstract

A technique to provide interferometry by combining multiple images of the same area is proposed. This technique exploits all the images jointly and performs an optimal spectral shift preprocessing to remove most of the decorrelation for distributed targets. Its applications are mainly for DEM generation at centimetric accuracy, and for differential interferometry. The major requirement is that targets are coherent over all the images: this may be the case for current multi-pass over desert areas, or better for the case of images coming from future short revisit time systems (constellations, cart-wheel, geosynchronous SAR etc.).
2006
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
SYNTHETIC-APERTURE RADAR
BLIND IDENTIFICATION
ELEVATION
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/39826
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