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Triplet-Watershed for Hyperspectral Image Classification

Hyperspectral images consist of rich spatial and spectral information, which can be used for several applications. However, noise, band correlations, and high dimensionality restrict the applicability of such data.

Data and Resources

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Cite this as

Aditya Challa, Sravan Danda, B. S. Daya Sagar, Laurent Najman (2024). Dataset: Triplet-Watershed for Hyperspectral Image Classification. https://doi.org/10.57702/fq8nq0md

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Aditya Challa
More Authors	Sravan Danda B. S. Daya Sagar Laurent Najman
Homepage	https://github.com/ac20/TripletWatershed Code