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Chauvin J, Duran R, Tavakolian K, Akhbardeh A, MacKinnon N, Qin J, Chan DE, Hwang C, Baek I, Kim MS, et al. Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced? Applied Sciences. 2021; 11(22):10628. https://doi.org/10.3390/app112210628

Chauvin, John, Ray Duran, Kouhyar Tavakolian, Alireza Akhbardeh, Nicholas MacKinnon, Jianwei Qin, Diane E. Chan, Chansong Hwang, Insuck Baek, Moon S. Kim, and et al. 2021. "Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?" Applied Sciences 11, no. 22: 10628. https://doi.org/10.3390/app112210628

Chauvin, J., Duran, R., Tavakolian, K., Akhbardeh, A., MacKinnon, N., Qin, J., Chan, D. E., Hwang, C., Baek, I., Kim, M. S., Isaacs, R. B., Yilmaz, A. G., Roungchun, J., Hellberg, R. S., & Vasefi, F. (2021). Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced? Applied Sciences, 11(22), 10628. https://doi.org/10.3390/app112210628