An improved principal component analysis approach to noise removal for airborne electromagnetic data
Author:
Affiliation:
1. Jilin University, Changchun, China
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2014-1073.1
Reference7 articles.
1. Asten, M., 2009, Use of principal component images for classification of the EM response of unexploded ordnance: 20th International Geophysical Conference and Exhibition, ASEG, Extended Abstracts, 1, 1–6.
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3. Green, A., 1998, The use of multivariate statistical techniques for the analysis and display of AEM data: Exploration Geophysics, 29, no. 2, 77–82, 10.1071/EG998077.
4. Lane, R., C. Plunkett, A. Price, A. Green, and Y. D. Hu, 1998, Streamed data — A source of insight and improvement for time domain airborne EM: Exploration Geophysics, 29, no. 2, 16–23, 10.1071/EG998016.
5. Macnae, J. C., Y. Lamontagnet, and G. F. West, 1984, Noise processing techniques for time-domain EM systems: Geophysics, 49, 934–948, 10.1190/1.1441739.
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