A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening

We propose a novel class of schemes for the pansharpening of multispectral (MS) images using a multivariate empirical mode decomposition (MEMD) algorithm. MEMD is an extension of the empirical mode decomposition (EMD) algorithm, which enables the decomposition of multivariate data into its intrinsic...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2015-07, Vol.53 (7), p.3974-3984
Hauptverfasser:	Abdullah, Syed Muhammad Umer, Rehman, Naveed ur, Khan, Muhammad Murtaza, Mandic, Danilo P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Educational institutions Empirical mode decomposition Image fusion multi-resolution analysis multivariate empirical mode decomposition pansharpening Spatial resolution Vectors
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