Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

Short summary

A novel spectral–spatial feature based classification (SSFC) framework combines balanced local discriminant embedding for spectral feature extraction and convolutional neural networks for spatial feature extraction, outperforming existing methods on hyperspectral datasets.

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