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

Version 1.1 (10.5 KB) by Nathan Cahill
Improving graph-based dimensionality reduction techniques for image data to incorporate superpixels
5.0
(4)
2.3K Downloads
Updated 23 Mar 2015

View License

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.

Cite As

Nathan Cahill (2024). SLIC Superpixels for Efficient Graph-Based Dimensionality Reduction of Hyperspectral Imagery (https://www.mathworks.com/matlabcentral/fileexchange/50184-slic-superpixels-for-e-cient-graph-based-dimensionality-reduction-of-hyperspectral-imagery), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Spatial-Spectral Schroedinger Eigenmaps

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Published Release Notes
1.1

Modifed zip file to remove extra folder level
1.0.0.0