蒲伦;唐诗华;刘银涛;黄昶程;唐宏;

• 1:桂林理工大学测绘地理信息学院
• 2:广西空间信息与测绘重点实验室

摘要(Abstract)：

针对多面函数在拟合高程异常中难以选取中心节点及光滑因子的问题,该文提出了蚁群-遗传算法改进高程异常拟合模型的方法。为拟合模型构建提供可靠的参数,使选择的中心节点更加合理,加入蚁群算法能够快速获取地形复杂区域的特征点。光滑因子是多面函数拟合法的重要参数,参数值影响了拟合模型精度的高低。采用了遗传算法优化光滑因子,将光滑因子作为种群的染色体进行遗传运算,求得了拟合模型的光滑因子最优值为0.452。利用蚁群-遗传算法改进后的多面函数构建的拟合模型精度为8.6mm,比传统多面函数法拟合结果精度提高了48%。实验研究表明,蚁群-遗传算法改进的多面函数在很大程度上提高了拟合模型的精度,充分验证了改进方法有效可行,为特殊地形的高程拟合提供了重要的参考依据。

关键词(KeyWords)： 高程异常;蚁群算法;遗传算法;多面函数;中心节点;光滑因子

Abstract:

Keywords:

基金项目(Foundation): 广西空间信息与测绘重点实验室基金项目(15-140-07-05,16-380-25-13,16-380-25-25);; 广西自然科学基金项目(2018GXNSFAA281279);; 广西高校中青年教师基础能力提升项目(KY2016YB823)

作者(Authors): 蒲伦;唐诗华;刘银涛;黄昶程;唐宏;

DOI: 10.16251/j.cnki.1009-2307.2019.07.008

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