UMMFF: Unsupervised Multimodal Multilevel Feature Fusion Network for Hyperspectral Image Super-Resolution

Due to the inadequacy in utilizing complementary information from different modalities and the biased estimation of degraded parameters, the unsupervised hyperspectral super-resolution algorithm suffers from low precision and limited applicability. To address this issue, this paper proposes an appro...

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Hlavní autoři:	Zhongmin Jiang, Mengyao Chen, Wenju Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-09-01
Edice:	Remote Sensing
Témata:	hyperspectral image super-resolution multimodal multilevel feature fusion gate-cross keeping shared encoder multilevel parallel fusion decoder prior-knowledge implicit estimation
On-line přístup:	https://www.mdpi.com/2072-4292/16/17/3282
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