The tree classifier has proved to be an effective method of statistical pattern classification, but the designing of the tree structure is not usually easy. In this paper, a new design approach based on hierarchical clustering is proposed. The design principle and the algorithm of the method, as well as the experimental results for both test data and remote-sensing data, are discussed. The design process of the method is simple and the performance of the classifier designed by the method has been proved to be satisfactory.