基于RBF神经网络的遥感影像分类算法研究

The research on image classification algorithm based on the RBF neural network

提出了运用径向基函数神经网络和K均值法进行遥感影像分类的算法,以实际的遥感影像分类为例,通过与传统的最小距离法进行比较,对RBF神经网络分类器的优点进行了归纳,并就算法实施中的一些问题进行了探讨。分析结果表明,RBF神经网络是一种有效的图像分类器。

This pape presents an algorithm using the radial basis function (RBF)neural networks com-bined with the technique of K-means for the classification of remote sensing images.Experimental re-sults show that this algorithm is an effective classifier compared with some conventional methods.