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Investigation of Neural Network Architectures for Classification of Multi-Attribute LIBS Spectra Under Simulated Martian Atmospheric Conditions

von Canal, Alexander and Rammelkamp, Kristin and Lomashvili, Ana (2023) Investigation of Neural Network Architectures for Classification of Multi-Attribute LIBS Spectra Under Simulated Martian Atmospheric Conditions. Lunar and Planetary Science Conference 2023, 2023-03-13 - 2023-03-17, The Woodlands, Texas, USA.

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Abstract

We compare two neural network classification schemes for predicting two chemical compenents of self-prepared samples, measured with our dedicated LIBS setup.

Item URL in elib:https://elib.dlr.de/202243/
Document Type:Conference or Workshop Item (Poster)
Title:Investigation of Neural Network Architectures for Classification of Multi-Attribute LIBS Spectra Under Simulated Martian Atmospheric Conditions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
von Canal, Alexanderalexander.voncanal (at) dlr.deUNSPECIFIEDUNSPECIFIED
Rammelkamp, KristinKristin.Rammelkamp (at) dlr.dehttps://orcid.org/0000-0003-4808-0823151240096
Lomashvili, Anaana.lomashvili (at) dlr.dehttps://orcid.org/0009-0005-3157-3316UNSPECIFIED
Date:March 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:LIBS, Mars, neural network, classification
Event Title:Lunar and Planetary Science Conference 2023
Event Location:The Woodlands, Texas, USA
Event Type:international Conference
Event Start Date:13 March 2023
Event End Date:17 March 2023
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 > In-Situ Sensing
Deposited By: Rammelkamp, Kristin
Deposited On:22 Jan 2024 07:45
Last Modified:24 Apr 2024 21:02

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