Remote Sensing Images Classification Using Fuzzy B-spline Function Neural Network

摘要

In this paper, we proposed a remote sensing images classification algorithm using membership function adjustable fuzzy B-spline function neural network. In the proposed classification algorithm, fuzzy technique and neural network technique are combined, and the fuzzy inference is realized by neural network. B-spline function is used as membership function of the fuzzy neural network and its shape can be adjusted in real time, which endue the classifier with better capability of learning and self-adapt. Experimental results show that the proposed classification algorithm can be used in remote sensing images classification, and its classification precision is superior to that of the conventional maximum likelihood algorithm.