Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?

Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?

Relative to standard red/green/blue (RGB) imaging systems, hyperspectral imaging systems offer superior capabilities but tend to be expensive and complex, requiring either a mechanically complex push-broom line scanning method, a tunable filter, or a large set of light emitting diodes (LEDs) to coll...

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Detalles Bibliográficos
Autores principales: John Chauvin, Ray Duran, Kouhyar Tavakolian, Alireza Akhbardeh, Nicholas MacKinnon, Jianwei Qin, Diane E. Chan, Chansong Hwang, Insuck Baek, Moon S. Kim, Rachel B. Isaacs, Ayse Gamze Yilmaz, Jiahleen Roungchun, Rosalee S. Hellberg, Fartash Vasefi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
classification
hyperspectral imaging
food fraud
simulated annealing
machine learning
spectroscopy
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/fd18c1a6f0454c0ca3a24a360fcbaa59
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https://doaj.org/article/fd18c1a6f0454c0ca3a24a360fcbaa59

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