Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network

Hyperspectral imaging (HSI) captures detailed spectral data across a wide range of wavelengths, making HSI invaluable for many computer vision applications. However, limitations of imaging systems result in low spatial resolution in HSI images. State-of-the-art research encounters challenges due to...

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Bibliografische gegevens

Hoofdauteurs:	Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2025-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Hyperspectral image (HSI) positional embedding second-order features total variation (TV) loss
Online toegang:	https://ieeexplore.ieee.org/document/11098921/
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