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65 \field{abstract}{Aeromagnetic data is important for the exploration of gold and other hydrothermal deposits because geologically favourable environments are associated with changes in rock magnetism. For example, Archean orogenic gold mineralisation is known to be present in areas of structural complexity near major shear-zones that form conduits for mineralising uids. Potential uid pathways such as shear zones and faults are often associated with magnetite destructive alteration resulting in linear negative anomalies in magnetic data. Here, we present a new image analysis method that identies geological structural complexity using lineaments automatically mapped within magnetic data. This quantitative analysis is efcient and self consistent in dealing with large volumes of data, and is suitable as a rst-pass ground selection tool for orogenic gold exploration in greeneld terrains.}
66 \field{issn}{01691368}
67 \field{journaltitle}{Ore Geology Reviews}
68 \field{langid}{english}
69 \field{month}{8}
70 \field{shorttitle}{Identifying structural complexity in aeromagnetic data}
71 \field{title}{Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration}
72 \field{urlday}{3}
73 \field{urlmonth}{10}
74 \field{urlyear}{2018}
75 \field{volume}{46}
76 \field{year}{2012}
77 \field{dateera}{ce}
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123 \field{title}{{GEOLOGICAL} {LINEAMENT} {INTERPRETATION} {USING} {THE} {OBJECT}-{BASED} {IMAGE} {ANALYSIS} {APPROACH}: {RESULTS} {OF} {SEMI}-{AUTOMATED} {ANALYSES} {VERSUS} {VISUAL} {INTERPRETATION}}
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