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» Unmixing Sparse Hyperspectral Mixtures
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IGARSS
2009
13 years 2 months ago
Unmixing Sparse Hyperspectral Mixtures
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
Marian-Daniel Iordache, José M. Bioucas-Dia...
IGARSS
2010
13 years 2 months ago
Recent developments in sparse hyperspectral unmixing
This paper explores the applicability of new sparse algorithms to perform spectral unmixing of hyperspectral images using available spectral libraries instead of resorting to well...
Marian-Daniel Iordache, Antonio J. Plaza, Jos&eacu...
IGARSS
2009
13 years 2 months ago
Parallel Implementation of Endmember Extraction Algorithms using NVidia Graphical Processing Units
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Antonio Plaza, Javier Plaza, Sergio Sánchez
CVPR
2011
IEEE
13 years 4 days ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
IGARSS
2010
13 years 2 months ago
Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. Linear spectral unmixing relies on two main steps: 1) identification of pure spectral c...
Eligius M. T. Hendrix, Inmaculada García, J...