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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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Bibliografiske detaljer
Udgivet i:Sensors (Basel)
Main Authors: Pałka, Filip, Książek, Wojciech, Pławiak, Paweł, Romaszewski, Michał, Książek, Kamil
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8037346/
https://ncbi.nlm.nih.gov/pubmed/33805937
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072293
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