Evaluation of bayesian despeckling and texture extraction methods based on Gauss-Markov and auto-binomial gibbs random fields: Application to TerraSAR-X data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 5 PART 2, 2012, Pages 2001-2025

  Molina, Espinoza Daniela ^a   Gleich, Dušan ^b   Datcu, Mihai ^a,c  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b UNIVERSITY OF MARIBOR   (Slovenia)

^c PARISTECH   (France)

Author keywords

Auto binomial model (ABM); Bayesian inference; Gauss Markov random fields (GMRF); parameter estimation; speckle reduction; synthetic aperture radar (SAR); TerraSAR X; texture extraction

Indexed keywords

AUTO-BINOMIAL MODEL (ABM); BAYESIAN INFERENCE; RANDOM FIELDS; SPECKLE REDUCTION; TERRASAR-X; TEXTURE EXTRACTION;

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INFERENCE ENGINES; PARAMETER ESTIMATION; QUALITY CONTROL; SATELLITES; SPECKLE; SYNTHETIC APERTURE RADAR; TEXTURES;

IMAGE TEXTURE;

ACCURACY ASSESSMENT; ALGORITHM; BAYESIAN ANALYSIS; DATA SET; GAUSSIAN METHOD; IMAGE ANALYSIS; MARKOV CHAIN; NUMERICAL MODEL; PARAMETERIZATION; TERRASAR-X;

EID: 84860340876     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2169679     Document Type: Article

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