Probabilistic graphical models for flood state detection of roads combining imagery and DEM

IEEE Geoscience and Remote Sensing Letters

Volumn 9, Issue 6, 2012, Pages 1051-1055

  Frey, Daniel ^a   Butenuth, Matthias ^a   Straub, Daniel ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Bayesian network (BN); detection; factor graph; flooding; probabilistic graphical model

Indexed keywords

DIGITAL ELEVATION MODEL; FACTOR GRAPHS; FLOOD SIMULATION; IMAGE DATA; MAXIMUM LIKELIHOOD CLASSIFICATIONS; NUMERICAL EVALUATIONS; PROBABILISTIC GRAPHICAL MODELS; REMOTE SENSING DATA; REMOTE SENSING IMAGERY; STATE DETECTION; STATISTICAL DEPENDENCE;

BAYESIAN NETWORKS; COMMUNICATION SYSTEMS; ERROR DETECTION; GEOGRAPHIC INFORMATION SYSTEMS; GRAPHIC METHODS; OIL WELL FLOODING; PIXELS; REMOTE SENSING; SPEECH RECOGNITION; TOPOLOGY;

THREE DIMENSIONAL;

EID: 84863496393     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2012.2188881     Document Type: Article

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