Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios

This study is focused on applying genetic algorithms (GAs) to model and band selection in hyperspectral image classification. We use a forensic-inspired data set of seven hyperspectral images with blood and five visually similar substances to test GA-optimised classifiers in two scenarios: when the...

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Detalles Bibliográficos
Autores principales: Pałka, Filip, Książek, Wojciech, Pławiak, Paweł, Romaszewski, Michał, Książek, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037346/
https://www.ncbi.nlm.nih.gov/pubmed/33805937
http://dx.doi.org/10.3390/s21072293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037346/
https://www.ncbi.nlm.nih.gov/pubmed/33805937
http://dx.doi.org/10.3390/s21072293

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