Hyperspectral Optimal Spectral Clustering

Version 1.0.0 (10.3 MB) by Sharad Kumar Gupta
Compute the optimal number of bands essential for dimensionaity reduction
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Updated 25 Nov 2020
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This code computes the optimal number of bands essential for dimensionaity reduction of Hyperspectral images.

The work has published as Part of the Communications in Computer and Information Science (CCIS), Springer, Book Series Volume 1035
Link: https://link.springer.com/chapter/10.1007/978-981-13-9181-1_26

Citation: Gupta V., Gupta S.K., Shukla D.P. (2019) Optimal Selection of Bands for Hyperspectral Images Using Spectral Clustering. In: Santosh K., Hegadi R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-13-9181-1_26

Cite As

Sharad Kumar Gupta (2024). Hyperspectral Optimal Spectral Clustering (https://github.com/vansjyo/Hyperspectral_OptimalSpectralClustering), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.