An iterative spectral-spatial bayesian labeling approach for unsupervised robust change detection on remotely sensed multispectral imagery

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

Volumn 1296, Issue , 1997, Pages 263-270

  Wlemker, Rafael ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; CLUSTERING ALGORITHMS; EDGE DETECTION; ITERATIVE METHODS; MARKOV PROCESSES; NETWORK-ON-CHIP; PIXELS; PROBABILITY; REMOTE SENSING; SIGNAL DETECTION;

BAYESIAN PROBABILITIES; ITERATIVE CLUSTERING; MARKOV RANDOM FIELD MODEL; MONITORING PURPOSE; MULTI-SPECTRAL IMAGERY; MULTISPECTRAL REMOTE SENSING; REGISTERED IMAGES; ROBUST CHANGE DETECTIONS;

IMAGE ANALYSIS;

EID: 84923823389     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-63460-6_126     Document Type: Conference Paper

References (8)

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