Sar Interferometric Data Inversion: A Study about Numerical Approaches

Details Sar Interferometric Data Inversion: A Study about Numerical Approaches Sar Interferometric Data Inversion: A Study about Numerical Approaches

Jun 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.550e..59n&link_type=abstract

Proceedings of the FRINGE 2003 Workshop (ESA SP-550). 1-5 December 2003, ESA/ESRIN, Frascati, Italy. Editor: H. Lacoste. Publish

Mathematics

Scientific paper

SAR interferometry is currently one of the most powerful techniques for observation of the Earth's surface, in particular for both topographical measurements of vast geographical areas and surface change measurements over a pre-defined time interval (Differential Radar Interferometry). The inversion problem considered in this paper consists of identifying the parameters of a ground deformation source by observing the changes it causes in SAR interferometric data. Investigations into the structural analysis of the mathematical model, show that the problem is an extremely nonlinear one. Hence the inversion solution cannot be obtained in closed form but it can be formulated as an optimization search problem. The search is tackled by using the Genetic Algorithms (GAs) approach since it guarantees against the problem of local minima. Synthetic data are first considered to study the accuracy of the inverse solution. Hence actual SAR data recorded during the recent 2001 Mt Etna eruption are taken into account for the inversion exercise. The results obtained are discussed also in comparison with the inversion of an independent set of GPS data.

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