Multichromatic Analysis of InSAR Data

The multichromatic analysis (MCA) uses interferometric pairs of SAR images processed at range subbands and explores the phase trend of each pixel as a function of the different central carrier frequencies to infer absolute optical path difference. This approach allows retrieving unambiguous height i...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2013-09, Vol.51 (9), p.4790-4799
Hauptverfasser: Bovenga, Fabio, Giacovazzo, Vito Martino, Refice, Alberto, Veneziani, Nicola
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container_title IEEE transactions on geoscience and remote sensing
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creator Bovenga, Fabio
Giacovazzo, Vito Martino
Refice, Alberto
Veneziani, Nicola
description The multichromatic analysis (MCA) uses interferometric pairs of SAR images processed at range subbands and explores the phase trend of each pixel as a function of the different central carrier frequencies to infer absolute optical path difference. This approach allows retrieving unambiguous height information on selected pixels, potentially solving the problem of spatial phase unwrapping, which is instead critical in the standard monochromatic processing. The method, based on concepts originally introduced by Madsen and Zebker, has been developed in previous work both theoretically and through simulations. This paper presents the first MCA experimental validation of the procedure, through application to a wideband SAR single-pass interferometric data set acquired by the AES-1 airborne sensor. An evaluation of the impact of the MCA processing parameters on the height estimation performances is obtained through a parametric analysis. The results confirm the indications derived by the theoretical analysis, demonstrating the feasibility of the MCA absolute phase measurement, provided that a sufficient bandwidth is available.
doi_str_mv 10.1109/TGRS.2012.2230633
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subjects Accuracy
Airborne sensing
Applied geophysics
Bandwidth
Carrier frequencies
Distance measurement
Earth sciences
Earth, ocean, space
Estimation
Exact sciences and technology
Indication
Interferometry
Internal geophysics
Noise
Parametric analysis
Pixels
Process parameters
Studies
Synthetic aperture radar
synthetic aperture radar interferometry (InSAR)
Thyristors
title Multichromatic Analysis of InSAR Data
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