Mineral Prospectivity Mapping based on Isolation Forest and Random Forest: Implication for the Existence of Spatial Signature of Mineralization in Outliers
Shuai Zhang(Chinese Academy of Geological Sciences), Jie Xiang(Chinese Academy of Geological Sciences), Fan Yang(Chinese Academy of Geological Sciences), Zhenghui Chen(Chinese Academy of Geological Sciences), Nan Li(Chinese Academy of Geological Sciences), Emmanuel John M. Carranza(University of the Free State), Hantao Wei(Chinese Academy of Geological Sciences), Keyan Xiao(Chinese Academy of Geological Sciences)
Cited by 65
Related Papers
Multi- and hyperspectral geologic remote sensing: A review
|International Journal of Applied Earth Observation and Geoinformation|2011|1.1k
Multi - and hyperspectral geologic remote sensing : a review
|ResearchOnline at James Cook University (James Cook University)|2011|812
Arsenic geochemistry and health
|Environment International|2004|582
Support vector machine: A tool for mapping mineral prospectivity
|Computers & Geosciences|2010|510
Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)
|Remote Sensing of Environment|2007|438