This paper demonstrate the method of how to map the primitive image features to the semantic interpretations of the image content, and how to implement interactive learning together with probabilistic search. Lastly, this paper introduces the concept of Ontology for the image retrieval.
赵英,刘佳佳 . 基于贝叶斯定理的遥感图像检索[J]. 现代图书情报技术, 2006, 1(5): 36-39.
Zhao Ying,Liu Jiajia . Remote Sensing Image Retrieval Based on Bayes Classification. New Technology of Library and Information Service, 2006, 1(5): 36-39.
1李启青,马建文,哈斯巴干等基于贝叶斯网络模型的遥感图像数据处理技术电子与信息学报,2003,25(10):1321-1326
2Mihai Datcu, Herbert Daschiel, Andrea Pelizzari, Marco Quartulli, Annalisa Galoppo, Andrea Colapicchioni, Marco Pastori, Klaus Seidel, Pier Giorgio Marchetti, and Sergio D'Elia. Information Mining in Remote Sensing Image Archives—Part A: System Concepts. IEEE Transactions on Geoscience and Remote Sensing, December 2003
3Peter Stanchev.Using Image Mining for Image Retrieval. IASTED conf. Computer Science and Technology,May 19-21,2003 Cancum,Mexico,214-218
4Michael Schrder, Hubert Rehrauer, Klaus Seidel, and Mihai Datcu. Interactive Learning and Probabilistic Retrieval in Remote Sensing Image Archives. IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2288-2298
5张亮,陈肇雄,黄河燕基于Ontology的智能检索技术研究图书情报工作,2005,49(9):74-76