Stocktake Sale on now: wide range of books at up to 70% off!
Register      Login
ASEG Extended Abstracts ASEG Extended Abstracts Society
ASEG Extended Abstracts

Articles citing this paper

Self-organizing maps for pseudo-lithological classification of 3D airborne electromagnetic, gravity gradiometry and magnetic inversions

Stephen J. Fraser, Glenn A. Wilson, Leif H. Cox, Martin Cuma, Michael S. Zhdanov and Marc A. Vallée
2012(1) pp.1 - 4


16 articles found in Crossref database.

Two dimensional cross-gradient joint inversion of gravity and magnetic data sets constrained by airborne electromagnetic resistivity in the Capricorn Orogen, Western Australia
León-Sánchez Adrián Misael, Gallardo Luis A., Ley-Cooper Alan Yusen
Exploration Geophysics. 2018 49(6). p.940
Unsupervised boundary analysis of potential field data: A machine learning method
First International Meeting for Applied Geoscience & Energy Expanded Abstracts (2021)
Cutaneo Carmine, Vitale Andrea, Fedi Maurizio
3D pseudo-lithologic modeling via iterative weighted k-means++ algorithm from Tengger Desert cover area, China
Dong Yulong, Liu Yang, Peng Wuxu, Chen Yansi, Fan Junjie, Huang Xiaobing, Liu Huilong, Sun Qiang
Frontiers in Earth Science. 2023 11
Mining and Geothermal Complete Session
SEG Technical Program Expanded Abstracts 2016 (2016)
Three-Dimensional Pseudo-Lithologic Modeling Via Adaptive Feature Weighted k-Means Algorithm from Multi-Source Geophysical Datasets, Qingchengzi Pb–Zn–Ag–Au District, China
Zhang Zhiqiang, Wang Gongwen, Carranza Emmanuel John M., Yang Shuren, Zhao Ke, Yang Wangdong, Sha Deming
Natural Resources Research. 2022 31(4). p.2163
Semi-automated geological mapping and target generation from geochemical and magnetic data in Halkidiki region, Greece
Piippo Simo, Sadeghi Martiya, Koivisto Emilia, Skyttä Pietari, Baker Tim
Ore Geology Reviews. 2022 142 p.104714
Geology differentiation with uncertainty estimation using inverted magnetization directions
SEG Technical Program Expanded Abstracts 2016 (2016)
Li Yaoguo, Sun Jiajia
Unsupervised boundary analysis of potential field data: A machine learning method
Cutaneo Carmine, Vitale Andrea, Fedi Maurizio
GEOPHYSICS. 2023 88(3). p.G57
Geological characterization applying k-means clustering to 3D magnetic, gravity gradient, and DC resistivity inversions: A case study at an iron oxide copper gold (IOCG) deposit
SEG Technical Program Expanded Abstracts 2016 (2016)
Melo Aline, Li Yaoguo
Geology differentiation by applying unsupervised machine learning to multiple independent geophysical inversions
Melo Aline, Li Yaoguo
Geophysical Journal International. 2021 227(3). p.2058
3D magnetization inversion using fuzzyc-means clustering with application to geology differentiation
Li Yaoguo, Sun Jiajia
GEOPHYSICS. 2016 81(5). p.J61
Geophysical inversions applied to 3D geology characterization of an iron oxide copper-gold deposit in Brazil
Melo Aline Tavares, Sun Jiajia, Li Yaoguo
GEOPHYSICS. 2017 82(5). p.K1
Unsupervised classification applications in enhancing lithological mapping and geological understanding: a case study from Northern Ireland
Smillie Z., Demyanov V., McKinley J., Cooper M.
Journal of the Geological Society. 2023 180(4).
Electromagnetic Induction Methods in Mining Geophysics from 2008 to 2012
Smith Richard
Surveys in Geophysics. 2014 35(1). p.123
KNIME an Open Source Solution for Predictive Analytics in the Geosciences [Software and Data Sets]
Feltrin Leonardo
IEEE Geoscience and Remote Sensing Magazine. 2015 3(4). p.28
Technical Program in full - Part I (ACQ 1 - PS P1)
SEG Technical Program Expanded Abstracts 2016 (2016)
Abstract PDF (1.8 MB) Export Citation

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email