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Method of the Road Lines Recognition in the Maps of Digital Material Based on Improvemented BP Neural Network

机译:基于改进的BP神经网络的数字材料地图中道路线识别方法

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Maps made of paper mateial are required to be digital, the necessary step is to recognize and trace the road lines in the maps of digital material. But there are so many crossing points of the road lines in the digital map.In order to recognize a complete road line, the tracing direction at the crossing point must be solved at first. According to present roads crossing pointes recognition algorithm has not obtained good effects. This paper describes the calculation principle of road lines recognition using BP neural networkin maps of digital material, and method has been improved. It was proved by experiment that the improved algorithm of the crossing point recognition method is highly effective.
机译:由纸质材料制成的地图需要数字化,必要的步骤是识别和追踪数字材料地图中的道路线。但是数字地图中道路线的交叉点太多,为了识别完整的道路线,必须首先解决交叉点的追踪方向。根据目前的道路交叉点识别算法并没有取得很好的效果。本文介绍了在数字材料图上使用BP神经网络进行道路识别的计算原理,并对方法进行了改进。实验证明,改进的交叉点识别方法是有效的。

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