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Proceedings Paper

Using MODIS data and Saastamoinen model for atmospheric effect reduction in interferometry
Author(s): A. Saqellari Likoka
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Paper Abstract

In this study, a method for reducing the atmospheric effects on SAR interferometric products is proposed. The method exploits MODIS data, as well as the Saastamoinen model for the estimation of the atmospheric component and the generation of spatially continuous data for this component. Then it recovers the interferometric signal from delays caused by the atmospheric component, through the appropriate modelling of the interferometric phase.

Performance of the method depends on MODIS data resolution; however, it always improves results. Experiments showed that the accuracy of DEMs that are produced by interferometry is improved when the proposed method is applied.

Paper Details

Date Published: 1 May 2017
PDF: 7 pages
Proc. SPIE 10222, Computational Imaging II, 102220A (1 May 2017); doi: 10.1117/12.2266106
Show Author Affiliations
A. Saqellari Likoka, National Technical Univ. of Athens (Greece)


Published in SPIE Proceedings Vol. 10222:
Computational Imaging II
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli; Kenneth S. Kubala, Editor(s)

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