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Hyperspectral signature-band extraction and learning: an example of sugar content prediction of Syzygium samarangense

This study proposes a method to extract the signature bands from the deep learning models of multispectral data converted from the hyperspectral data. The signature bands with two deep-learning models were further used to predict the sugar content of the Syzygium samarangense. Firstly, the hyperspec...

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Detalles Bibliográficos
Autores principales: Yan, Yung-Jhe, Wong, Weng-Keong, Chen, Chih-Jung, Huang, Chi-Cho, Chien, Jen‑Tzung, Ou-Yang, Mang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497603/
https://www.ncbi.nlm.nih.gov/pubmed/37699940
http://dx.doi.org/10.1038/s41598-023-41603-6