Modeling of atmospheric effects on InSAR measurements with the method of stochastic simulation

Z. W. Li, Xiaoli Ding

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

The method of stochastic simulation is proposed to model the atmospheric effect on InSAR measurements based on sample data. Test results show that 37.44% reduction in the standard devisation of the atmospheric errors can be achieved with the method of stochastic simulation, compared to 25.69% with the method of Kriging interpolator. The relative improvement of the former over the latter amounts to 45.72%. The results suggest that the method of stochastic simulation is more advantageous over the traditional interpolators such as the Kriging method in modeling the atmospheric effects on InSAR measurements.
Original languageEnglish
Pages (from-to)35-40
Number of pages6
JournalEuropean Space Agency, (Special Publication) ESA SP
Issue number550
Publication statusPublished - 1 Dec 2004
EventProceedings of FRINGE 2003 Workshop - Frascati, Italy
Duration: 1 Dec 20035 Dec 2003

ASJC Scopus subject areas

  • Aerospace Engineering

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