Radial basis function neural network (RBFNN) and multilayer perceptron neural network (MPNN) are very similar with topologic structure.They play very similar roles in providing techniques for approximating arbitrary nonlinear function mappings between multi dimensional space.Two models are compared in this paper.This paper describes a method to construct an RBFNN classifier by a fast clustering algorithm and computes the optimal weights between the middle layer and output layer statistically.We applied the proposed method to construct a RBFNN classifier for remote sensing image classification.The experiment showed that the method could construct classifier quickly and the performance of the classifier was better than others.