Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR

@article{Jiang2015FastSH,
  title={Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR},
  author={Mi Jiang and Xiaoli Ding and Ramon F. Hanssen and Rakesh Malhotra and Ling Chang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2015},
  volume={53},
  pages={1213-1224}
}
  • M. JiangXiaoli Ding Ling Chang
  • Published 1 March 2015
  • Environmental Science, Mathematics
  • IEEE Transactions on Geoscience and Remote Sensing
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… 

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