Drifter轨迹与FVCOM模型轨迹对比数据处理方法的研究  

Research on Data Processing Method of Contrast between Drifter Trajectory and FVCOM Model Trajectory

作　　者：林凡盛 赵国忱[1] 赵晓旭[2] 王永敏[3] LIN Fansheng;ZHAO Guochen;ZHAO Xiaoxu;WANG Yongmin(College of Surveying,Mapping and Geographical Science,Liaoning Technical University,Fuxin 123000,China;College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;School of Earth Science and Engineering,Hohai University,Nanjing 211100,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000 [2]山东科技大学测绘科学与工程学院,山东青岛266590 [3]河海大学地球科学与工程学院,江苏南京211100

出　　处：《测绘与空间地理信息》2018年第8期142-145,共4页Geomatics & Spatial Information Technology

摘　　要：Drifter监测洋流轨迹与FVCOM模型模拟轨迹对比可以发现模型不足,进而优化模型,对比的精度制约着模型优化的程度。针对Nearest洋流轨迹对比数据处理方法精度不高的问题,提出将Wachspress Interpolation、BP神经网络和加权平均3种数据处理方法用于drifter漂流轨迹与FVCOM模型轨迹对比,用分离速度与距离比作为精度指标。结果显示Wachspress Interpolation数据处理方法在分离速度与距离比方面都优于其他3种方法;BP神经网络受训练样本区域大小、样本数据影响以及模型点匹配限制,对比精度最差;Nearest与加权平均法对比效果介于两者之间。实验结果表明新提出的Wachspress Interpolation方法对比精度更高,更加适用于Drifter轨迹与FVCOM模型轨迹对比,该研究结论可应用于后续的模型优化。Current trajectory contrast by Drifter and FVCOM model can be used to verify FVCOM model accuracy and then optimize it,accuracy of comparison constraint the degree of model optimization. In this paper,the other three kinds of data processing methods（Wachspress Interpolation,BP neural network,weighted average） for drifter trajectories and model trajectories were put forward to solve the low accuracy problem of Nearest,on this basis,the separation speed and distance ratio were used as the precision index. The results showed that Wachspress Interpolation is the best in separation speed and distance ratio among all the methods;what’s more,the BP neural network was the worst one for its training sample size area,sample data and the model points matching restriction; Nearest and weighted average were between the two. The results analysis showed that Wachspress Interpolation is more suitable for current trajectory contrasting and can be applied to the subsequent model optimization.

关 键 词：DRIFTER FVCOM 轨迹对比 数据处理 

分 类 号：P229[天文地球—大地测量学与测量工程]