基于共线和交叉点融合数据的高度计海况偏差参数模型的研究  

Study on Parametric Model of Sea State Bias in Altimete based on Fusion Dataset of Collinear and Crossover

作　　者：王桂忠[1] 苗洪利[1] 王鑫[1] 王永强[1] 张杰[2] 

机构地区：[1]中国海洋大学信息科学与工程学院物理系,山东青岛266100 [2]国家海洋局第一海洋研究所,山东青岛266061

出　　处：《遥感技术与应用》2014年第1期176-180,共5页Remote Sensing Technology and Application

基　　金：国家自然科学基金"雷达高度计海况偏差校正综合模型研究"(41176157)

摘　　要：海况偏差参数校正模型根据其采用的数据集可分为交叉点模型和共线模型,两者各有优劣。对交叉点和共线数据集进行融合建立融合数据集,并对融合数据集、交叉点数据集和共线数据集进行比对,结果表明:融合数据集具有时效性高、覆盖范围广、数据样本取值范围大的优点。其空间分辨率可以满足卫星雷达高度计观测需求。采用融合数据集计算得到模型的解释方差比其他两种高,说明该模型有效性更好。The parametric model of sea state bias can be divided into crossover model and collinear model ac- cording to the dataset that used,both of the two kinds of models have their own advantages and disadvanta- ges. Fusing the crossover dataset and collinear dataset to establish fusion dataset, comparing to the fusion dataset,crossover dataset and collinear dataset, the results show that the fusion dataset has advantage in temporal,space coverage and data value. Its spatial resolution meets the satellite radar altimeter observa- tions demand. The explain variance of the model which computed from fusion dataset is higher than the others,which means the model is more efficiency.

关 键 词：高度计 海况偏差 参数模型 数据融合 

分 类 号：P228.3[天文地球—大地测量学与测量工程]