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Masking Hyperspectral Imaging Data with Pretrained Models

The proposed processing pipeline encom- passes two fundamental parts: regions of interest mask generation, followed by the application of hyperspectral data processing techniques solely on the newly masked hyperspectral cube.

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Cite this as

Elias Arbash, Andréa de Lima Ribeiro, Sam Thiele, Nina Gnann, Behnood Rasti, Margret Fuchs, Pedram Ghamisi, Richard Gloaguen (2024). Dataset: Masking Hyperspectral Imaging Data with Pretrained Models. https://doi.org/10.57702/kyjkk3fc

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Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Elias Arbash
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Andréa de Lima Ribeiro
Sam Thiele
Nina Gnann
Behnood Rasti
Margret Fuchs
Pedram Ghamisi
Richard Gloaguen
Homepage https://github.com/hifexplo/Masking