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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
classification
hyperspectral imaging
food fraud
simulated annealing
machine learning
spectroscopy
Online Access:https://www.mdpi.com/2076-3417/11/22/10628

Internet

https://www.mdpi.com/2076-3417/11/22/10628

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