Dec 8, 2016 · Hypersharpening aims at combining an observable low-spatial resolution hyperspectral image with a high-spatial resolution remote sensing ...
NMF aims at decomposing a nonnegative matrix into a product of two nonnegative matrices. In [19], [20], the NMF-based hypersharpening method called Coupled ...
Experimental results show that the proposed gradient-based joint-criterion NMF (Grd-JCNMF) methods significantly outperform the well-known coupled NMF ...
Hypersharpening aims at combining an observable low-spatial resolution hyperspectral image with a high-spatial resolution remote sensing image, ...
Hypersharpening aims at combining an observable low spatial resolution hyperspectral image with a high spatial resolution remote sensing image, ...
Mar 1, 2017 · Hypersharpening aims at combining an observable low-spatial resolution hyperspectral image with a high-spatial resolution remote sensing ...
Hypersharpening by Joint Joint-Criterion Criterion Nonnegative Matrix Factorization. Abstract: Hypersharpening aims at combining an observable low ...
In this work, a hypersharpening approach, creating fused hyperspectral remote sensing images with high spatial and spectral resolutions, is introduced.
Feb 20, 2023 · A recent hypersharpening technique [67] extends the JCNMF [40] method to handle the spectral variability by exploiting the same specific matrix ...
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Poids de l'Open access dans la production CNRS ; BSO - Titre. Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization ; DOI. DOI10.1109/tgrs.