Deep supervised learning for hyperspectral data classification through convolutional neural networks

Short summary

A deep learning approach using Convolutional Neural Networks (CNNs) and Multi-Layer Perceptrons (MLPs) automates feature extraction for hyperspectral data classification, outperforming traditional methods that rely on handcrafted features.

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