Improving drill-core hyperspectral mineral mapping using machine learning

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Freiberg, Technische Universität Bergakademie Freiberg, Dissertation, 2022

Keyword: Machine learning
Bohrkern
Bohrkernuntersuchung
Geochemische Prospektion
Datenerhebung
Hyperspektraler Sensor
Künstliche Intelligenz
Lagerstätte
Mineralisation
Mineralischer Rohstoff
Prospektion
Geochemie
Spektralanalyse
Maschinelles Lernen
Datenanalyse
Datenauswertung
Mineralbestimmung
Lagerstättenkunde
Mineralogie
Hyperspektraler Sensor
Tusa

Event: Veröffentlichung

(where): Freiberg

(who): Technische Universität Bergakademie Freiberg

(when): 2022

Creator: Contreras Acosta, Isabel Cecilia

Contributor: Gloaguen, Richard
Gloaguen, Richard
Gutzmer, Jens
Benndorf, Jörg
Plaza, Antonio

URN: urn:nbn:de:bsz:105-qucosa2-798522

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:53 PM CET

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Associated

Contreras Acosta, Isabel Cecilia
Gloaguen, Richard
Gutzmer, Jens
Benndorf, Jörg
Plaza, Antonio
Technische Universität Bergakademie Freiberg

Time of origin

2022

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Improving drill-core hyperspectral mineral mapping using machine learning

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Other Objects (12)

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