基于局部体样条函数的海洋盐度场建模

摘要

海洋盐度是海洋水文要素的重要组成部分，是海洋战场环境研究的重点。在介绍海水盐度数据特点的基础上，采用局部体样条函数法对散乱的大规模盐度场标量数据进行建模，并利用遗传算法和非线性规划相结合的方法解决体样条函数法的区域划分问题。通过一组实测数据进行建模实验并将得到的数据场进行可视化，表明该方法适用于大规模散乱数据场的建模，可为海洋战场环境的数据分析和场景构建提供建模手段。%Ocean salinity is an important part of the ocean hydrological elements ,and is the focus of the study of naval battle field environment .In this paper ,on the basis of introduction of the salinity data characteristics ,local body spline function method is used to model the messy large-scale salinity field scalar data ,and by combining genetic algorithm with non-linear programming method , the region partition problems of spline function method is solved .In the end ,this paper takes a series of modeling experiments and visualizes the data through a set of measured data ,w hich show s the method is suitable for the modeling of large-scale scattered data field ,and can be used as modeling method for data analysis of sea battlefield environment and scene building .