The application of curvelet transform in noise suppression of airbornemagnetic data
Hailong Sun, Hongye Wang, Xin Chen, Wei Min Zheng · AIP conference proceedings · 2017
Curvelet transform is a kind of mathematical transform that is widely used in recent years that is often applied in the field of denoising. This paper uses the Curvelet transform and the traditional Wavelet transform in noise suppression for the airborne magnetic data of for Shan-Yang region. Through the contrast, we find that the Curvelet transform achieves the better noise suppression effect compared with the ordinary wavelet transform, improves the identification precision of the data signal effectively, providing a solid foundation for further processing of magnetic data interpretation.