Phase unwrapping by means of scaling information and global optimization algorithms

Fabio Bovenga; Alberto Refice; Sebastiano Stramaglia; Domenico Conte

doi:10.1117/12.463178

7 March 2003 Phase unwrapping by means of scaling information and global optimization algorithms

Fabio Bovenga, Alberto Refice, Sebastiano Stramaglia, Domenico Conte

Proceedings Volume 4883, SAR Image Analysis, Modeling, and Techniques V; (2003) https://doi.org/10.1117/12.463178
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

Many applications of SAR interferometry and differential interferometry lead to a set of sparse phase measurements that usually have to be unwrapped, and then interpolated on a regular grid. We investigate the utility of the scaling information available on the absolute phase, in the process of unwrapping a set of sparse, wrapped phase measurements. Scaling information is an important tool for the description of natural processes exhibiting fractal-like behaviour. One notable example is the interferometric phase contribution due to tropospheric inhomogeneities. Scaling properties can be estimated experimentally on a set of points through computation of the variogram. If it can be assumed that the absolute phase field obeys a defined scaling power law, then the wrapping operator will cause the variogram to depart from the modelled behaviour. Under these hypotheses, the difference between actual and modelled variogram can be used as an optimization Hamiltonian. In this work, we investigate whether the scaling information can be used as a constraint in retrieving the absolute (i.e. unwrapped) phase field from a set of sparse measurements. In particular, we consider here the problem of constructing a cost function which embodies the scaling requirement, and we test several strategies to optimise the cost.

Citation Download Citation

Fabio Bovenga, Alberto Refice, Sebastiano Stramaglia, and Domenico Conte "Phase unwrapping by means of scaling information and global optimization algorithms", Proc. SPIE 4883, SAR Image Analysis, Modeling, and Techniques V, (7 March 2003); https://doi.org/10.1117/12.463178

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available