摘要
在多波束数据处理中 ,系统误差一般很少被顾及 ,部分文献采用两步滤波法削弱了系统误差的影响 ,但所建模型的可靠性较差。半参数 (非参数 )法在系统分析了测深数据系统误差来源以及各误差源间相互比例关系的基础上 ,对系统误差进行分解 ,确定系统误差各贡献成分的函数模型 ;根据估计点位 ,结合已确立的模型 ,计算各贡献成分对系统误差的贡献量 ;综合各贡献量 ,获得估计点深度的系统误差 。
This paper analyzes the reason of systematic error forming, the sound velocity error and attitude error are thought to be two main contribution factors. Although the error character themselves shows random, their effect for depth presents systematic. For a sonar system, according to the nominal accuracy, in whole systematic error, the contribution of sound velocity error for depth is about 35%, and the contribution of attitude error for depth is about 65%. Based on the proportion, according to the character of non-parametric (semi-parametric) method, the systematic error in depth is estimated and weakened.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2004年第5期394-397,共4页
Geomatics and Information Science of Wuhan University
关键词
多波束测深数据
系统误差
削弱方法
半参数法
MES(multibeam echo sounder)
systematic error
semi-parameter(non-parameter) estimation
