Local and global strategies for InSAR phase unwrapping

Alberto Refice; Maria Teresa Chiaradia; Luciano Guerriero; Giovanni Nico; Palma N. Blonda; Guido Pasquariello; Giuseppe Satalino; Sebastiano Stramaglia; Nicola Veneziani

doi:10.1117/12.331345

20 November 1998 Local and global strategies for InSAR phase unwrapping

Alberto Refice, Maria Teresa Chiaradia, Luciano Guerriero, Giovanni Nico, Palma N. Blonda, Guido Pasquariello, Giuseppe Satalino, Sebastiano Stramaglia, Nicola Veneziani

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Proceedings Volume 3497, SAR Image Analysis, Modeling, and Techniques; (1998) https://doi.org/10.1117/12.331345
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

In the last years, both local and global analysis techniques for the effective processing of interferometric SAR data have been proposed. We developed two local approaches to eliminate inconsistencies in the measured (wrapped) phase field, based on the local configurations of phase gradients in finite windows. The first technique adopts a fixed search strategy which 'cures' isolated residue couples by an appropriate series of corrections determined a priori. A second strategy uses the generalization capabilities of a neural network, trained on a suitable number of simulated target phase fields, to add 2 - (pi) cycles to the proper locations of the interferogram. These approaches, in spite of the high dimensionality of this problem, are able to correctly remove more than half the original number of pointlike inconsistencies on real noisy interferograms. This stems from the observation that phase unwrapping is an ill-posed problem, which has to be solved globally. Hence, a global stochastic method has been implemented, based on the minimization of a functional measuring the regularity of the phase field. The optimization tool used is simulated annealing with constraints. This methodology gives excellent results also in difficult conditions. We will present some of the recent results which aim at integrating the above-mentioned methodologies into powerful processing chains optimized for operating on large IFSAR datasets from real scenes. The effectiveness of such phase retrieving methods allows the application of sophisticated and innovative remote sensing techniques, such as differential interferometry.

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Alberto Refice, Maria Teresa Chiaradia, Luciano Guerriero, Giovanni Nico, Palma N. Blonda, Guido Pasquariello, Giuseppe Satalino, Sebastiano Stramaglia, and Nicola Veneziani "Local and global strategies for InSAR phase unwrapping", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331345

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KEYWORDS

Interferometric synthetic aperture radar

Stochastic processes

Neural networks

Interferometry

Reconstruction algorithms

Algorithms

Annealing

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