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