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The use of satelite remote sensing and machine learning algorithms for identification, measurement and classification of mine waste sites

; ; ;

In
[12th EARSeL Workshop on Imaging Spectroscopy, EARSeL, 2022-06-22 - 2022-06-24, Postdam, Germany]

Konferenz/Event:12. EARSeL Workshop on Imaging Spectroscopy , Postdam , Germany , EARSeL , 2022-06-22 - 2022-06-24

Online
URL: https://publications.rwth-aachen.de/record/849631/files/849631.pdf

Einrichtungen

  1. Lehrstuhl für Nachhaltige Rohstoffgewinnung und Institut für Rohstoffingenieurwesen (511110)
  2. Fachgruppe Rohstoffe und Entsorgungstechnik (510000)


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Dokumenttyp
Contribution to a conference proceedings

Format
data medium

Sprache
English

Anmerkung
Peer review status of article unknown

Interne Identnummern
RWTH-2022-06931
Datensatz-ID: 849631

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Faculty of Georesources and Materials Engineering (Fac.5) > Division of Mineral Resources and Raw Materials Engineering
Documents in print
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511110
510000
 Record created 2022-07-12, last modified 2024-06-21
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