A computationally efficient method for sequential MAP-MRF cloud detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6783 LNCS, Issue PART 2, 2011, Pages 354-365

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

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Cloud Detection; Cloud Tracking; Markov Random Field (MRF); Maximum A posteriori Probability (MAP); SEVIRI

Indexed keywords

CLOUD DETECTION; CLOUD TRACKING; MARKOV RANDOM FIELD; MAXIMUM A POSTERIORI PROBABILITIES; SEVIRI; MARKOV RANDOM FIELDS;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; IMAGE MATCHING; MOTION ESTIMATION; STRUCTURAL FRAMES; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS;

CLOUD COMPUTING; STRUCTURAL FRAMES;

EID: 79960296969     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21887-3_28     Document Type: Conference Paper

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