摘要
介绍了Bayes分类器 ,提出了从GIS空间数据库中挖掘知识用以辅助进行遥感影像分类的方法。文中以规则的形式表示遥感影像的解译知识 ,并使用其它地理辅助数据 ,从遥感影像处理、地理辅助数据、专家知识一体化的角度出发 ,使用基于知识的方法进行了分类研究 ,改善了分类精度。实验表明这是一种较好的分类方法。
This paper introduced Bayes classifier, and presented a method for knowledge mining from GIS spatial database, used it to support image classification. Integrating geographic data, interpretation knowledge used by expert, a new method was proposed. In classification procedures, the associated geographic data are used as well as imagery, and knowledge is represented by rules. The method has been approved to be effective to improve the classification accuracy compared to the traditional method. Experiment approved it's a good classification method.
出处
《测绘科学技术学报》
北大核心
2001年第2期113-117,共5页
Journal of Geomatics Science and Technology
关键词
影像分类
空间数据挖掘
贝叶斯分类器
image classification
spatial data mining
Bayes classifier
