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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
von Canal, Alexander	alexander.voncanal (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Rammelkamp, Kristin	Kristin.Rammelkamp (at) dlr.de	https://orcid.org/0000-0003-4808-0823	UNSPECIFIED

Date:

June 2022

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

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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