Convolutional Neural Networks Applied to Antimony Quantification via Soil Laboratory Reflectance Spectroscopy in Northern Portugal: Opportunities and Challenges

AuthID
 P-010-G5K
4
Author(s)
Carvalho, M
·
Tipo de Documento
Article
Year published
2024
Publicado
in REMOTE SENSING, ISSN: 2072-4292
Volume: 16, Número: 11, Páginas: 1964 (20)
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Publication Identifiers
SCOPUS: 2-s2.0-85195882451
Wos: WOS:001245549100001
Source Identifiers
ISSN: 2072-4292
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