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Ya-Ning Chang

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Open access Aug 2026

A Study on Hyperspectral Non-Destructive Testing of Mechanical Damage in Yali Pears Using Linear Dimension Reduction and a Lightweight CNN

To enable rapid, non-destructive identification of damage to Yali pears, this study proposes a detection method that integrates short-wave infrared hyperspectral imaging (1000–2500 nm), regularised linear discriminant analysis (R-LDA) and a lightweight convolutional neural network (CNN). The experiments utilised 180 Ya...

Chao Ma, Ling Zhao, Ya-Ning Chang et al. · 0 citations

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