Identification and Suppression of Multicomponent Noise in Audio Magnetotelluric Data Based on Convolutional Block Attention Module
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DOI: 10.1109/tgrs.2024.3361942
Abstract: Audio magnetotelluric (AMT) is commonly used in mineral resource exploration. However, the weak energy of AMT signals makes them susceptible to being overwhelmed by noise, leading to erroneous geophysical interpretations. In recent years, deep learning… read more here.
Keywords: deep learning; amt signals; block attention; convolutional block ... See more keywords