Spectral Image Fusion From Compressive Measurements Using Spectral Unmixing and a Sparse Representation of Abundance Maps | Zendy

Edwin Vargas | Zendy; Henry Argüello | Zendy; Jean–Yves Tourneret | Zendy

Open Access

Spectral Image Fusion From Compressive Measurements Using Spectral Unmixing and a Sparse Representation of Abundance Maps

Author(s) -

Edwin Vargas,

Henry Argüello,

Jean–Yves Tourneret

Publication year - 2019

Publication title -

ieee transactions on geoscience and remote sensing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.141

H-Index - 254

eISSN - 1558-0644

pISSN - 0196-2892

DOI - 10.1109/tgrs.2019.2895822

Subject(s) - panchromatic film , hyperspectral imaging , multispectral image , compressed sensing , computer science , artificial intelligence , fuse (electrical) , image fusion , spectral imaging , image resolution , inverse problem , computer vision , pattern recognition (psychology) , sparse approximation , image (mathematics) , mathematics , remote sensing , physics , geology , mathematical analysis , quantum mechanics

In the past years, one common way of enhancing the spatial resolution of a hyperspectral (HS) image has been to fuse it with complementary information coming from multispectral (MS) or panchromatic images. This paper proposes a new method for reconstructing a high-spatial, high-spectral image from measurements acquired after compressed sensing by multiple sensors of different spectral ranges and s...

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