Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain

@article{Hongxing2015InterferometricPI,
  title={Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain},
  author={Hao Hongxing and Josx00E9 M. Bioucas-Dias and Vladimir Katkovnik},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2015},
  volume={53},
  pages={2587-2602}
}
This paper addresses interferometric phase image estimation, i.e., the estimation of phase modulo-2π images from sinusoidal 2π-periodic and noisy observations. These degradation mechanisms make interferometric phase image estimation a quite challenging problem. We tackle this challenge by reformulating the true estimation problem as a sparse regression, often termed sparse coding, in the complex domain. Following the standard procedure in patch-based image restoration, the image is partitioned… CONTINUE READING
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Orthogon al matching pursuit: Recursive function approximation with applicati ons to wavelet decomposition

  • Y. Pati, R. Rezaiifar, P. Krishnaprasad
  • inConference Record of The Twenty-Seventh…
  • 1993
Highly Influential
10 Excerpts

L east angle regression,”The

  • B. Efron, T. Hastie, I. Johnstone, R. Tibshirani
  • Annals of Statistics,
  • 2004
Highly Influential
6 Excerpts

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