Full-Scale Regression Modeling of Spatial Details for Single-/Multiplatform Hypersharpening

Whenever the sharpening band is not unique, the hypersharpening paradigm extends traditional pansharpening to any <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>-to-<inline-formula> <tex-math notation="LaTeX">n </t...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 63; s. 1 - 16
Hlavní autori:	Arienzo, Alberto, Garzelli, Andrea, Alparone, Luciano, Vivone, Gemine
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Band spectra Closed form solutions Degradation Environmental Mapping and Analysis Program (EnMAP) hypersharpening Matrix decomposition multiband image fusion Multisensor fusion multivariate linear regression (MLR) Optical imaging optical remote sensing Optical sensors Optimization Pansharpening Parameters Reviews Sentinel-2 (S2) Spatial data Spatial resolution Spectral bands Tensors Training unimodal fusion WorldView-3 (WV-3)
ISSN:	0196-2892, 1558-0644
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