Semantic Annotation of Satellite Images Using Author–Genre–Topic Model

@article{Luo2014SemanticAO,
  title={Semantic Annotation of Satellite Images Using Author–Genre–Topic Model},
  author={Wang Luo and Hongliang Li and Guanghui Liu and Liaoyuan Zeng},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2014},
  volume={52},
  pages={1356-1368}
}
In this paper, we propose a novel hierarchical generative model, named author-genre-topic model (AGTM), to perform satellite image annotation. Different from the existing author-topic model in which each author and topic are associated with the multinomial distributions over topics and words, in AGTM, each genre, author, and topic are associated with the multinomial distributions over authors, topics, and words, respectively. The bias of the distribution of the authors with respect to the… CONTINUE READING
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