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Determining the Spectral Requirements for Cyanobacteria Detection for the CyanoSat Hyperspectral Imager with Machine Learning

This study determines an optimal spectral configuration for the CyanoSat imager for the discrimination and retrieval of cyanobacterial pigments using a simulated dataset with machine learning (ML). A minimum viable spectral configuration with as few as three spectral bands enabled the determination...

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Detalles Bibliográficos
Autores principales: Matthews, Mark W., Kravitz, Jeremy, Pease, Joshua, Gensemer, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535531/
https://www.ncbi.nlm.nih.gov/pubmed/37765856
http://dx.doi.org/10.3390/s23187800

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