摘要
波浪噪声和随机噪声是影响海洋磁力测量数据处理精度的重要因素。基于小波阈值消噪理论,研究了海洋磁力测量数据中的波浪和随机噪声的消除方法。仿真和实例计算表明:借助于小波的分解与重构,有效地减弱或消除了测量数据中的波浪和随机噪声,具有较高的精度和可靠性。该方法解决了传统的滑动拟合法对波浪和随机噪声与测量数据中的真实高频信息一起平滑过滤的局限性问题。
Wave noise and random noise are remarkable factors in influencing accuracy of processing of marine magnetic survey. Based on the basic theory of wavelet threshold, a method of de-nosing is presented to improve the precision of de-noising. Simulation and practical results shows that, by using wavelet decomposition and reconstruction, the method can efficiently remove wave and random noise of data. Moreover, compared with classic processing techniques, it has excellent accuracy and reliability. The method has solved localized problem of noise and real high frequency information in data is filtered with traditional slide fitting method.
出处
《测绘科学技术学报》
北大核心
2009年第3期200-203,共4页
Journal of Geomatics Science and Technology
基金
国家自然科学基金资助项目(40671161)
关键词
海洋磁力测量
小波阈值
滑动拟合
消噪
随机噪声
marine magnetic survey
wavelet threshold
slide fitting
de-noising
random noise
