Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection

Laser-induced breakdown spectroscopy (LIBS) is a rapid, non-contact analytical technique that is widely applied in various fields. However, the high dimensionality and information redundancy of LIBS spectral data present challenges for effective model development. This study aims to assess the effec...

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Auteurs principaux:	Manping Wang, Yang Lu, Man Liu, Fuhui Cui, Rongke Gao, Feifei Wang, Xiaozhe Chen, Liandong Yu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-01-01
Collection:	Remote Sensing
Sujets:	laser-induced breakdown spectroscopy (LIBS) feature selection mRMR ChemCam planetary exploration
Accès en ligne:	https://www.mdpi.com/2072-4292/17/3/416
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