TY - JOUR
T1 - Practical demonstration of robust InSAR optimization for multipass InSAR
AU - Yuanyuan, Wang
AU - Xiao Xiang, Zhu
N1 - Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85000936615&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85000936615
SN - 2197-4403
JO - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
JF - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
M1 - 7559386
T2 - 11th European Conference on Synthetic Aperture Radar, EUSAR 2016
Y2 - 6 June 2016 through 9 June 2016
ER -