Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 9, 2016, Pages 5054-5070

  Moser, Gabriele ^a   De Giorgi, Andrea ^a   Serpico, Sebastiano Bruno ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Bayesian estimation; expectation maximization (EM); graph cuts; Markov random fields (MRF); Multiresolution image classification

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; IMAGE SEGMENTATION; ITERATIVE METHODS; MARKOV PROCESSES; MAXIMUM PRINCIPLE; SATELLITE IMAGERY; SUPERVISED LEARNING;

CONTEXTUAL CLASSIFICATION; DIFFERENT RESOLUTIONS; EXPECTATION - MAXIMIZATIONS; LINEAR MIXTURE MODELING; MARKOV RANDOM FIELDS; MULTI-RESOLUTION IMAGERY; MULTIRESOLUTION IMAGES; SUPERVISED CLASSIFICATION;

IMAGE CLASSIFICATION;

ALGORITHM; BAYESIAN ANALYSIS; DATA SET; GRAPHICAL METHOD; IKONOS; IMAGE CLASSIFICATION; LANDSAT; MARKOV CHAIN; NUMERICAL MODEL; SATELLITE IMAGERY; SPATIAL RESOLUTION;

EID: 84973542324     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2547027     Document Type: Article

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