摘要
从线式测深模式要求出发,构建了海洋水深测量过程中的测船位置滤波模型和深度数据的滤波模型,并在此基础上,给出了测线上位置数据和深度数据Kalman滤波的一般解和抗差解,并结合海洋水深测量特点,构建了满足水深数据剔除异常值的截断权函数和滤波方案,实例分析表明,抗差滤波方法能够有效地控制测船位置粗差,在选择截断权函数情况下,抗差滤波方法能够有效地剔除水深跳点和假水深。
After analyzing the pattern of sounding,the models based on the algorithms of Kalman filtering were presented in this paper to filter the survey-boat positions and depths along a sounding line.However,the existing methods could not remove the alias soundings in fact.So,a filtering method with a truncated weight function is designed to remove outliers,such as gross errors,false echo.The method has been tested using observed data.The results show that the robust Kalman filtering with the truncated function is really robust in resisting the outliers in soundings.
出处
《测绘科学》
CSCD
北大核心
2006年第5期27-29,共3页
Science of Surveying and Mapping
基金
国家自然科学基金资助(编号:40071070)
辽宁工程技术大学地理空间信息技术与应用实验室基金资助(编号:2005002)
作者简介
李明叁（1971-），男，重庆市荣昌县人，博士生，讲师，主要从事海洋测量数据处理理论与方法的研究。E—mail：leemings163@163．com
