Interferometric SAR image restoration using Monte Carlo metropolis method

We present a novel method of interferometric synthetic aperture radar (InSAR) image restoration. An InSAR image is modeled as a complex-valued Markov random field (CMRF). Corrupted parts, which are indicated by residues in phase data, are restored by using the Monte Carlo Metropolis (MM) method base...

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Veröffentlicht in:	IEEE transactions on signal processing 2002-02, Vol.50 (2), p.290-298
Hauptverfasser:	Suksmono, A.B., Hirose, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Image restoration Interferometric synthetic aperture radar Lattices Markov random fields Mathematical models Monte Carlo methods Neural networks Parameter estimation Radar imaging Residues Signal processing algorithms Synthetic aperture radar interferometry
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