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A method of accuracy reducing for vector data based on random function

机译:一种基于随机函数的矢量数据的精度减少方法

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Aiming at the safety problems in the vector data sharing process, a method of accuracy reducing for vector data based on random function is proposed. The characteristics of vector data are analyzed, and then the modifying strength is chosen based on the map scale. Finally the data accuracy is reduced by modifying the coordinate values based on the random function. The experiments show that this method maintains the availability of the vector data when reducing the data accuracy. It achieves the goal of protecting the data while maximizing the data sharing.
机译:针对Vector数据共享过程中的安全问题,提出了一种基于随机函数的向量数据的精度减少方法。分析了矢量数据的特性,然后基于地图比例选择修改强度。最后通过基于随机函数修改坐标值来减少数据精度。实验表明,该方法在降低数据准确性时保持矢量数据的可用性。它达到了保护数据的目标,同时最大化数据共享。

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