摘要
跳点普遍存在于重力、磁力、定位、水深等测线数据中。对跳点的处理分两个步骤:先利用改进的经典校验算法剔除大幅度的跳点,再利用信号处理的方法剔除小幅度的跳点。并在小幅度的跳点处理中提出先用小波收缩再用样条拟合的方法,较好地协调了相似性和光滑性,有效地逼近了真实值。
Abnormal points are common to see in surveying line such as gravity, magnetic force, GPS, depth and so on. In this paper, a new thought is put forward, which disposes abnormal points by two steps, firstly, eliminating the abnormal points in large scale by improved arithmetic; secondly, eliminating abnormal points in small scale by signal disposal method. Furthermore, the method of using wavelet transform and then spline fitting to approach the real value is given, which harmonizes the comparability and the smoothness, and enhances the elimination effects.
出处
《海洋测绘》
2007年第4期44-46,50,共4页
Hydrographic Surveying and Charting
基金
国家近海海洋综合调查与评价专项(908-01-DW07/DW08)
关键词
跳点
稳健回归
小波收缩
样条拟合
abnormal point
robust regression
wavelet transform
spline fitting
