Application of Clustering Analysis-Based Noise Reduction Techniques in Controlled-Source Electromagnetic Methods in Polymetallic Mining Areas-A case study of the Tong-ling Dong-gua-shan copper mine
Controlled source electromagnetic method is an important method for metal ore exploration.Industrial civilization brings complex noise,and the extraction of noisy electromagnetic response information has become a key issue in electromagnetic exploration in strong interference areas.This paper proposes a new technique for denoising controlled source electromagnetic method based on clustering analysis.Clustering analysis is applied to classify noisy frequency spectra to identify power spectrum data with controlled source characteristics and improve the quality of response extraction.The results of measured data processing show that compared to conventional processing methods,the algorithm proposed in this paper can better suppress noise and improve the quality of data preprocessing for controlled source electromagnetic method.
国家科技期刊平台
NSTL
万方数据
