小波变换在位场资料去噪和位场分离中的应用

根据小波变换的原理,研究了小波阙值去噪方法和位场分离方法在某实测布格重力异常的应用及效果。多矩形棱柱体模型试验表明:选取合适的小波基和小波参数,可以更好地提取出重力异常中的有用信息,为下一步在实测重力数据中的应用提供理论基础。实测布格重力资料处理结果表明:基于小波变换的去噪方法和位场分离方法,能够较好地去除随机噪声,更好地区别出局部异常和区域异常,提高数据处理与解释中有用信号识别的精度。

Application of wavelet transform for de-noising and potential field separation in gravity and magnetic data processing

According to the principle of wavelet transform,we study the applications and effects of wavelet threshold de-noising method and potential field separation method in real gravity data.The experiments of the multiple rectangular models show that：selecting appropriate wavelet bases and wavelet parameters contribute to extract useful information in gravity anomaly and the following application of the measured gravity data.The results of the measured Bouguer gravity data processing show that：the de-noising method based on wavelet transform and potential field method can efficiently remove random noise,distinguish the local anomalies and regional anomalies and improve the accuracy of the data processing and interpretation.