Semi-Supervised Hyperspectral Reconstruction from RGB Images via Spectrally Aware Mini-Patch Calibration

Hyperspectral reconstruction (SR) refers to the computational process of generating high-dimensional hyperspectral images (HSI) from low-dimensional observations. However, the superior performance of most supervised learning-based reconstruction algorithms is predicated on the availability of fully...

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Detalles Bibliográficos

Principais autores:	Runmu Su, Haosong Huang, Hai Wang, Zhiliang Yan, Jingang Zhang, Yunfeng Nie
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	Remote Sensing
Assuntos:	hyperspectral reconstruction semi-supervised paradigm spectrally aware mini-patches optimizable Tikhonov physical layer spectral and spatial attention
Acceso en liña:	https://www.mdpi.com/2072-4292/18/3/432
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