Multichromatic Analysis of InSAR Data

Abstract

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 dif- ferent 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 stan- dard 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 theMCA processing parameters on the height estimation performances is obtained through a para- metric 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.


Tutti gli autori

  • F. Bovenga; V.M. Giacovazzo; A. Refice; N. Veneziani

Titolo volume/Rivista

IEEE transactions on geoscience and remote sensing


Anno di pubblicazione

2013

ISSN

0196-2892

ISBN

Non Disponibile


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Nessuna citazione

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Settori ERC

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Codici ASJC

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