基于多叉树结构的曲线综合算法

Multi-way Tree Structure Based on Curve Generalization Method

基于Douglas Peucker(简称D P算法 )曲线综合方法存在的主要问题 ,提出并初步实现了相应的克服算法

Douglas-Peucker method is a famous method for curve generalization in automated cartography. However, this method has several disadvantages, for example it is possible that the maximal offset value of lower hierarchy is bigger than the maximal offset value of the upper hierarchy. Addressing these disadvantages, this paper suggests and realizes corresponding algorithms to overcome those shortcomings. These optimization algorithms lead to constructing multi-way tree structure which can serve as a better approach to solve generalization problems. On the basis of the multi-way structure a composite generalization method is realized.