Semantic annotation of satellite images using latent dirichlet allocation

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 1, 2010, Pages 28-32

  Liénou, Marie ^a   Maître, Henri ^a   Datcu, Mihai ^a,b  

^a TELECOM PARISTECH   (France)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Large image annotation; Latent Dirichlet allocation (LDA); Spatial information

Indexed keywords

ANNOTATION PERFORMANCE; HIERARCHICAL MODEL; IMAGE ANNOTATION; IMAGE REPRESENTATIONS; LARGE IMAGES; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; MAXIMUM LIKELIHOOD METHODS; QUICKBIRD IMAGES; RANDOM MIXTURES; SATELLITE IMAGES; SEMANTIC ANNOTATIONS; SEMANTIC CONCEPT; SPATIAL INFORMATIONS; SUPERVISED CLASSIFICATION; TRAINING SETS;

HIERARCHICAL SYSTEMS; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD;

SEMANTICS;

EID: 75449091209     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2023536     Document Type: Article

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