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TitleAnalytical optimization of DInSAR and GPS dataset for derivation of three-dimensional surface motion
 
AuthorSamsonov, SORCID logo; Tiampo, K
SourceIEEE Geoscience and Remote Sensing Letters vol. 3, issue 1, 2006 p. 107-111, https://doi.org/10.1109/LGRS.2005.858483 Open Access logo Open Access
Year2006
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Documentserial
Lang.English
Mediadigital; on-line; paper
File formatpdf
Subjectsgeophysics; remote sensing; modelling
AbstractA revised method for derivation of three-dimensional surface motions maps from sparse global positioning system (GPS) measurements and two differential interferometric synthetic aperture radar (DInSAR) interferograms based on a random field theory and Gibbs-Markov random fields equivalency within Bayesian statistical framework is proposed. It is shown that the Gibbs energy function can be optimized analytically in the absence of a neighboring relationship between sites of a regular lattice. Because the problem is well posed, its solution is unique and stable, and additional regularization in the form of smoothness is not required. The proposed algorithm is simple in realization, does not require extensive computer power, and is very quick in execution. The results of inverse computer modeling are presented and show a drastic improvement of accuracy when both GPS and DInSAR data are used.
GEOSCAN ID293853

 
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