Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution

Hyperspectral imaging is a crucial tool in remote sensing, which captures far more spectral information than standard color images. However, the increase in spectral information comes at the cost of spatial resolution. Super-resolution is a popular technique where the goal is to generate a high-reso...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Alexander Ulrichsen, Paul Murray, Stephen Marshall, Moncef Gabbouj, Serkan Kiranyaz, Mehmet Yamac, Nour Aburaed
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Hyperspectral imaging operational neural networks (ONNs) super-resolution
Online Access:	https://ieeexplore.ieee.org/document/10319126/