Fig. 5
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Architecture of the spectral feature extraction model (ℳ1). The shape of each layer is represented as a × b × c or a × b, where a × b represents the feature map dimensions and c is the number of convolutional filters. The red dashed box represents the final fully connected layer, whose output serves as the label for training the next model, ℳ2.
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