Semantic Annotation of Satellite Images using Latent Dirichlet Allocation

Abstract : We a use a semantic learning model to affect user oriented names to satellite image regions. After a supervised classification method of training subsets, we proceed to an automatic labeling by use of a Latent Dirichlet Allocation method (LDA) which does not take into consideration the adjacency relationship between visual words.