基于Perlin噪声的高分辨率地形仿真方法

高分辨率地形数据是虚拟现实、军事可视化仿真等方面研究的重要素材,地形的精细、逼真程度,直接影响到仿真的效果.但分辨率很高的地形数据难以直接获取,一种典型的解决方法是采用特定算法在低分辨率数据的基础上生成仿真地形数据.Perlin噪声具有分形、频率振幅可控等特点,通过不同频率的三维Perlin噪声叠加,可以生成不同细节程度的地形数据.将Perlin噪声模型应用于从低分辨地形数据构造高分辨率地形数据,可以较好地模拟原始地形的地理特征,具有较高的保真度.文章基于Perlin噪声模型设计、实现高分辨率地形重构算法,并采用可视化仿真的方法对该方法和简单随机噪声方法进行检验,仿真结果表明该方法能够更好地满足要求.

A High Resolution Terrain Data Simulation Algorithm Based on Perlin Noise

High resolution terrain data are important research material,but it's hard to acquire.Common method is using special algorithm to build it from lower resolution terrain data.Perlin noise has the characteristic of fractional and has controllable frequency and amplitude.Terrain data with different detail level can be obtained by repeating Perlin noise with different frequency.Using Perlin noise to build higher resolution terrain data from lower resolution data can simulate the geographical characteristic of original data.This paper designed an algorithm for reconstructing high resolution terrain data based on the model of Perlin noise.The result of simulation shows that the algorithm can be more effective than the simple random noise method.