Atmospheric effects estimation on SAR images using a pure statistical method

A. Saqellari Likoka

doi:10.1117/12.2264096

1 May 2017 Atmospheric effects estimation on SAR images using a pure statistical method

A. Saqellari Likoka

Proceedings Volume 10222, Computational Imaging II; 102220D (2017) https://doi.org/10.1117/12.2264096
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

The values of the unwrapped phase produced by interferometric pairs can be parameterized for phase components, such as height, atmospheric path delay and deformation term, and estimated through DInSAR techniques. In this study, a method is proposed which estimates the atmospheric path delay using a single interferometric pair and an atmospheric path delay estimator. The estimator relies on the minimization of the outage probability, which is the probability that the Mean Square Error (MSE) of the estimated atmospheric component exceeds a desired MSE value. Outage minimization is equivalent to the minimization of the MSE of the atmospheric component for a fixed outage probability. The minimization of the MSE of the atmospheric component is determined by the second-order statistics of the topography and atmospheric components. For a specific SAR image geometry, second-order statistics of the topography component are satisfactorily approximated by the mean squared height errors of a high quality InSAR DEM for various height and slope classes, whereas second-order statistics of the atmospheric component are approximated by the inverse coherence value of the dataset which provides the high quality InSAR DEM. The proposed approach is validated to real satellite images and meteorological measurements.

Conference Presentation

Citation Download Citation

A. Saqellari Likoka "Atmospheric effects estimation on SAR images using a pure statistical method", Proc. SPIE 10222, Computational Imaging II, 102220D (1 May 2017); https://doi.org/10.1117/12.2264096

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