Paper Info
Title
A Genetic Algorithm for Phase Unwrapping Errors Correction in the SBAS-DInSAR Approach
Abstract
The Differential Synthetic Aperture Radar Interferometry (DInSAR) remote sensing technique permits to investigate the temporal behaviour of the detected displacements through the generation of the deformation time-series. In this scenario the Phase Unwrapping (PhU) is a crucial point where several errors could occur since the problem is intrinsically ill-posed. In this paper we present a technique to correct unavoidable PhU errors and limit their impact in the final deformation time-series. The proposed approach works pixel-by-pixel and is based on the combination of an L1-norm inversion for the identification of the possible PhU errors and a genetic algorithm (GA) for the search of the best fitting solution. We include the technique in the Small Baseline Subset (SBAS) DInSAR processing chain to correct the results of the Extended Minimum Cost Flow algorithm, but in principle it can be used as a correction step after a generic PhU procedure used in SBAS. Results from MonteCarlo simulations are shown in this paper while real data cases will be presented at the conference.
Year
DOI
Venue
2019
10.1109/IGARSS.2019.8900515
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
Phase Unwrapping,Genetic Algorithm,L1-norm,DInSAR,SBAS
Synthetic aperture radar interferometry,Computer vision,Monte Carlo method,Inversion (meteorology),Computer science,GNSS augmentation,Artificial intelligence,Minimum-cost flow problem,Genetic algorithm
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-5386-9155-7
0
PageRank 
References 
Authors
0.34
4
5
Name
Order
Citations
PageRank
claudio de luca184.13
Giovanni Onorato200.68
Francesco Casu38518.44
Riccardo Lanari419950.16
Michele Manunta525131.65