Technology Selection for Inline Topography Measurement with Rover-Borne Laser Spectrometers.

3D imaging LIBS Raman spectroscopy laser spectroscopy rover payload space exploration topography

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
30 Apr 2024
Historique:
received: 18 03 2024
revised: 22 04 2024
accepted: 25 04 2024
medline: 11 5 2024
pubmed: 11 5 2024
entrez: 11 5 2024
Statut: epublish

Résumé

This work studies enhancing the capabilities of compact laser spectroscopes integrated into space-exploration rovers by adding 3D topography measurement techniques. Laser spectroscopy enables the in situ analysis of sample composition, aiding in the understanding of the geological history of extraterrestrial bodies. To complement spectroscopic data, the inclusion of 3D imaging is proposed to provide unprecedented contextual information. The morphological information aids material characterization and hence the constraining of rock and mineral histories. Assigning height information to lateral pixels creates topographies, which offer a more complete spatial dataset than contextual 2D imaging. To aid the integration of 3D measurement into future proposals for rover-based laser spectrometers, the relevant scientific, rover, and sample constraints are outlined. The candidate 3D technologies are discussed, and estimates of performance, weight, and power consumptions guide the down-selection process in three application examples. Technology choice is discussed from different perspectives. Inline microscopic fringe-projection profilometry, incoherent digital holography, and multiwavelength digital holography are found to be promising candidates for further development.

Identifiants

pubmed: 38732976
pii: s24092872
doi: 10.3390/s24092872
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Conor Ryan (C)

Institute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.
Institute of Optical Sensor Systems, German Aerospace Center, 12489 Berlin, Germany.

Tobias Haist (T)

Institute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.

Gennadii Laskin (G)

Department of Production Control, Fraunhofer Institute for Physical Measurement Techniques IPM, 79110 Freiburg, Germany.

Susanne Schröder (S)

Institute of Optical Sensor Systems, German Aerospace Center, 12489 Berlin, Germany.

Stephan Reichelt (S)

Institute for Applied Optics (ITO), University of Stuttgart, 70569 Stuttgart, Germany.

Classifications MeSH