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为研究城区道路直线提取问题,采用理论分析和实例分析的方法,对人工鱼群算法来做深入的研究.首先考虑视野和步长两个方面,可以使每一条人工鱼来对鱼群的状态自发地选取并且整理本身的视野和步长,用来使参数设定简化,用来使收敛性能还有寻优精度得到大大提高.理论分析和实验结果表明:改进后的人工鱼群算法与传统的人工鱼群算法相比较有一个突出的优点,借助MATLAB使改进的人工鱼群算法对城区道路提取进行实例分析.研究结果表明出改进后人工鱼群算法比传统的人工鱼群算法更为有效.
In order to study the urban road straight-line extraction problem, this paper makes a deep research on the artificial fish-swarm algorithm by using the methods of theoretical analysis and case analysis.Firstly, considering the field of view and the step size, each artificial fish can make the state of the fish Spontaneously select and organize their own field of vision and step size, used to make the parameter set is simplified, used to make the convergence performance and optimization accuracy has been greatly improved.Real analysis and experimental results show that: the improved artificial fish school algorithm and tradition Compared with the artificial fish swarm algorithm has a prominent advantage, using MATLAB to make the improved artificial fish swarm algorithm for urban road extraction example analysis.The results show that the improved artificial fish swarm algorithm is more effective than the traditional artificial fish swarm algorithm .