Noise removal for airborne time domain electromagnetic data based on minimum noise fraction
Author:
Affiliation:
1. Key Laboratory of Geo-Exploration Instrumentation, Ministry of Education, College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China.
2. Corresponding author.
Publisher
Informa UK Limited
Subject
Geology,Geophysics
Link
https://www.tandfonline.com/doi/pdf/10.1071/EG15072
Reference15 articles.
1. Sferics noise reduction in time-domain electromagnetic systems: application to MegaTEMIIsignal enhancement
2. AEM noise reduction with remote referencing
3. The use of multivariate statistical techniques for the analysis and display of AEM data
4. A transformation for ordering multispectral data in terms of image quality with implications for noise removal
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