A class of cloud detection algorithms based on a map-mrf approach in space and time

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 8, 2014, Pages 5100-5115

  Vivone, Gemine ^a   Addesso, Paolo ^a   Conte, Roberto ^a   Longo, Maurizio ^a   Restaino, Rocco ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Bayes methods; clouds; Gaussian mixture (GM) model; image classification; Markov random fields (MRFs)

Indexed keywords

CLOUDS; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS;

BAYES METHOD; CLOUD DETECTION ALGORITHMS; EFFICIENT IMPLEMENTATION; FINITESET STATISTICS (FISST); GAUSSIAN MIXTURES; LOW COMPUTATIONAL LOADS; MARKOV RANDOM FIELD; PROBABILITY HYPOTHESIS DENSITY FILTER;

IMAGE MATCHING;

ALGORITHM; CLASSIFICATION; CLIMATE PREDICTION; CORRELATION; GAUSSIAN METHOD; MAPPING; MARKOV CHAIN; OPTIMIZATION; PROBABILITY;

EID: 84896319722     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2286834     Document Type: Article

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