Practical Demonstration of Robust InSAR Optimization for Multipass InSAR

Konferenz: EUSAR 2016 - 11th European Conference on Synthetic Aperture Radar
06.06.2016 - 09.06.2016 in Hamburg, Germany

Tagungsband: EUSAR 2016

Seiten: 5Sprache: EnglischTyp: PDF

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Wang, Yuanyuan (Signal Processing in Earth Observation, Technical University of Munich, Germany)
Zhu, Xiao Xiang (Signal Processing in Earth Observation, Technical University of Munich, Germany & Remote Sensing Technology Institute, German Aerospace Center, Germany)

Multipass / multibaseline SAR interferometric measurements may suffer from, for example, non-Gaussian scatterers in the context of distributed scatterers, and unmodeled interferometric phase such as unmodeled motion phase and atmospheric phase. Robust InSAR Optimization (RIO) is a framework that systematically tackles these problems. Experiments show that RIO greatly outperform the current methods in terms of the variance of phase history parameter estimates for contaminated observations, but still keeps an relative efficiency of 80% when the observations are outlier-free.