SLIC Superpixel-Based <i>l</i><sub>2,1</sub>-Norm Robust Principal Component Analysis for Hyperspectral Image Classification.

Sensors (Basel) · 2019 · PMC6386951 · PMID 30682823

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practically significantno p-value reported

Therefore, it is important and practically significant to perform appropriate dimensionality reduction on hyperspectral images.

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