DUST DISPLACEMENT DETECTION IN THE SCOPE OF CHEMCAM RMI IMAGE DATA

التفاصيل البيبلوغرافية
العنوان: DUST DISPLACEMENT DETECTION IN THE SCOPE OF CHEMCAM RMI IMAGE DATA
المؤلفون: Lomashvili, Ana, Rammelkamp, Kristin, Gasnault, Olivier, Clave, Elise, Egerland, Christoph H., Schroder, Susanne
المساهمون: DLR Institute of Optical Sensor Systems (IOSS), Deutsches Zentrum für Luft- und Raumfahrt Berlin (DLR), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS), Lunar and Planetary Science Institute, Lunar and Planetary Institute
المصدر: 55th Lunar and Planetary Science Conference
Lunar and Planetary Science Conference
https://hal.science/hal-04800421
Lunar and Planetary Science Conference, Lunar and Planetary Science Institute, Mar 2024, The Woodlands, United States. pp.2016
https://www.hou.usra.edu/meetings/lpsc2024/
بيانات النشر: HAL CCSD
سنة النشر: 2024
المجموعة: Université Toulouse III - Paul Sabatier: HAL-UPS
مصطلحات موضوعية: [SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology, [SDU]Sciences of the Universe [physics], [SDU.ASTR.EP]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP]
جغرافية الموضوع: The Woodlands, United States
الوصف: Extrait de https://www.lpi.usra.edu/library/copyright-policy/Copyright for LPI meeting abstracts remains with the authors, who agree to allow USRA/LPI permission to publish the work in any and all materials associated with the meeting. To reuse material from a meeting abstract, you must obtain permission from one of the authors, not the LPI. ; International audience ; A limited number of samples of ChemCam RMI images are manually labeled, preprocessed, and trained on a machine learning pipeline employing Transfer Learning and Random Forest classifier to detect dust displacement during LIBS measurement.
نوع الوثيقة: conference object
اللغة: English
Relation: BIBCODE: 2024LPICo3040.2016L
الاتاحة: https://hal.science/hal-04800421
https://hal.science/hal-04800421v1/document
https://hal.science/hal-04800421v1/file/2016.pdf
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.224304D0
قاعدة البيانات: BASE