SLIC Superpixels for Efficient Graph-Based Dimensionality Reduction of Hyperspectral Imagery

Versione 1.1 (10,5 KB) da Nathan Cahill
Improving graph-based dimensionality reduction techniques for image data to incorporate superpixels
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Aggiornato 23 mar 2015

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Performs SLIC superpixel-based dimensionality reduction of hyperspectral imagery, followed by SVM-based classification, as described in the paper:
X. Zhang, S. E. Chew, Z. Xu, and N. D. Cahill, "SLIC Superpixels for Efficient Graph-Based Dimensionality Reduction of Hyperspectral Imagery," Proc. SPIE Defense & Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015.

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Nathan Cahill (2025). SLIC Superpixels for Efficient Graph-Based Dimensionality Reduction of Hyperspectral Imagery (https://it.mathworks.com/matlabcentral/fileexchange/50184-slic-superpixels-for-e-cient-graph-based-dimensionality-reduction-of-hyperspectral-imagery), MATLAB Central File Exchange. Recuperato .

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Ispirato da: Spatial-Spectral Schroedinger Eigenmaps

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Versione Pubblicato Note della release
1.1

Modifed zip file to remove extra folder level
1.0.0.0