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Investigating neural network architectures for stepwise classification of multi-attribute LIBS spectra under Martian conditions

von Canal, Alexander and Rammelkamp, Kristin (2022) Investigating neural network architectures for stepwise classification of multi-attribute LIBS spectra under Martian conditions. Planetary Science Informatics and Data Analytics Conference (PSIDA), 2022-06-21 - 2022-06-23, Madrid, Spanien.

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Item URL in elib:https://elib.dlr.de/193616/
Document Type:Conference or Workshop Item (Poster)
Title:Investigating neural network architectures for stepwise classification of multi-attribute LIBS spectra under Martian conditions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
von Canal, AlexanderUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rammelkamp, KristinUNSPECIFIEDhttps://orcid.org/0000-0003-4808-0823UNSPECIFIED
Date:June 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:LIBS, maschinelles lernen, Mars
Event Title:Planetary Science Informatics and Data Analytics Conference (PSIDA)
Event Location:Madrid, Spanien
Event Type:international Conference
Event Start Date:21 June 2022
Event End Date:23 June 2022
Organizer:European Space Astronomy Centre
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - OptoRob [RO]
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Terahertz and Laser Spectroscopy
Deposited By: Canal, Alexander
Deposited On:27 Jan 2023 08:47
Last Modified:24 Apr 2024 20:54

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