Research on Seismic Data Noise Reduction in Metallic Ore Based on Wavelet Domain Blind Source Separation JADE Algorithm
Feiran Yang · Scientific and Technological Management of Land and Resources · 2012
This paper explores the method of seismic exploration data noise reduction in deep metal,and proposes wavelet domain blind separation algorithm processing procedure.The actual noise reduction process and research of the low signal-to-noise ratio(SNR) in a metal mine of Yunnan Province shows that the effect would be better than JADE blind source separation algorithm noise reduction in pure time domain when the seismic data are transformed into wavelet domain blind source separation algorithm of JADE noise reduction processing,and then the wavelet domain is transformed into time domain;and in the de-noising processing,parameter combination must be tested many times according to different parts of the seismic data so as to achieve the best effect of de-noise.It is of practical value and instruction for prospecting blind ores and deep concealed ore deposits in large areas by seismic techniques to combine blind signal theory with wavelet transformation for deep seismic exploration data noise reduction.