Spectral band selection and ANIMR-GAN for high-performance multispectral coal gangue classification

Spectral band selection and ANIMR-GAN for high-performance multispectral coal gangue classification

Abstract Low-energy and efficient coal gangue sorting is crucial for environmental protection. Multispectral imaging (MSI) has emerged as a promising technology in this domain. This work addresses the challenge of low resolution and poor recognition performance in underground MSI equipment. We propo...

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Detaylı Bibliyografya
Asıl Yazarlar: Qingya Wang, Huaitian Hua, Liangliang Tao, Yage Liang, Xiaozheng Deng, Fen Yu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Nature Portfolio 2024-04-01
Seri Bilgileri:Scientific Reports
Konular:
Multilevel residual network
CycleGAN
Peak signal to noise ratio
Structure similarity
Online Erişim:https://doi.org/10.1038/s41598-024-58379-y

Internet

https://doi.org/10.1038/s41598-024-58379-y

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