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随着现代测绘技术的发展,通过野外实测得到数据已成为一种重要的河道演变信息来源。从目前出现在水深数据处理中最有可能存在的:一条测深线上孤立零点的粗差、具有连续性的粗差以及相邻测线上具有连续性和相关性的粗差等三种情况,分别提出剔除这些粗差的方法,通过实例分析可以得出本文所提出的粗差剔除方法是有效的,在实际测量中具有一定的实用性。为确保河床演变分析源数据的可靠性,结合源数据的特点,对其滤波方法也进行了研究。
With the development of modern surveying and mapping technology, the data obtained through the field measurement has become an important source of information on river course evolution. From the present, it is most likely to exist in the depth data processing: three cases of the gross error of isolated zero point on a sounding line, the gross error with continuity and the grossness of continuity and correlation on the adjacent line , Respectively, proposed to eliminate these gross errors method, by example analysis can be drawn in this paper, the gross error elimination method is effective in the actual measurement has some practicality. In order to ensure the reliability of the source data of the river bed evolution analysis and the characteristics of the source data, the filtering methods are also studied.