Laser-induced breakdown spectroscopy chemometrics for ChemCam Mars <i>in situ</i> data analysis based on deep learning and pretrained-model-based transfer learning
A novel scheme to analyze Mars in situ LIBS spectra by integrating deep learning with pretrained-model-based transfer learning.
Authors
- Xuesen Xu (ORCID: https://orcid.org/0000-0001-9050-893X)
- Zhicheng Cui (ORCID: https://orcid.org/0000-0002-9807-9583)
- Fan Yang (ORCID: https://orcid.org/0000-0003-1874-0392)
- Jianyu Wang
- Rong Shu (ORCID: https://orcid.org/0000-0002-3620-4617)
- O. Forni (ORCID: https://orcid.org/0000-0001-6772-9689)
- A. Cousin (ORCID: https://orcid.org/0000-0001-7823-7794)
- Yuwei Chen (ORCID: https://orcid.org/0000-0003-0148-3609)
- Luning Li (ORCID: https://orcid.org/0000-0003-2375-2259)
- Weiming Xu (ORCID: https://orcid.org/0000-0003-4215-0288)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Université Toulouse III - Paul Sabatier (FR)
- Université Fédérale de Toulouse Midi-Pyrénées (FR)
- Shanghai Institute of Technical Physics (CN)
- University of Chinese Academy of Sciences (CN)
- Institut de Recherche en Astrophysique et Planétologie (FR)
Publication Details
- Journal
- Journal of Analytical Atomic Spectrometry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4ja00407h
- Citations
- 7
- Primary Topic
- Laser-induced spectroscopy and plasma
- Type
- article
- Field-Weighted Citation Impact
- 6.05
Funders
- Natural Science Foundation of Shanghai
- National Natural Science Foundation of China
- Shanghai Rising-Star Program
- National Key Research and Development Program of China