基于贝叶斯定理的遥感图像检索

Remote Sensing Image Retrieval Based on Bayes Classification

对遥感图像检索中基于贝叶斯定理的一系列处理方法进行研究,阐述如何在底层原始图像特征与高层语义图像特征之间建立映射,并利用贝叶斯网络进行交互学习和概率检索的方法。最后结合基于内容的图像检索技术的研究热点,将Ontology概念引入图像检索领域,以提高图像的高层语义检索的精度。

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.