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Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR
By: Ding, X.; Jiang, M.; Chang, L.; Malhotra, R.; Hanssen, R.F.;
2015 / IEEE
This item from - IEEE Transaction - Geoscience - Multitemporal interferometric synthetic aperture radar (InSAR) is increasingly being used for Earth observations. Inaccurate estimation of the covariance matrix is considered to be the most important source of error in such applications. Previous studies, namely, DeSpecKS and its variants, have demonstrated their advantages in improving the estimation accuracy for distributed targets by means of statistically homogeneous pixels (SHPs). However, these methods may be unreliable for small sample sizes and sensitive to data stacks showing large time spacing due to the variability of the temporal sample. Moreover, these methods are computationally intensive. In this paper, a new algorithm named
Interferometric Synthetic Aperture Radar (insar)
Fast Statistically Homogeneous Pixel Selection (fashps)
Signal Processing And Analysis
Synthetic Aperture Radar