Noise estimation for hyperspectral subspace identification on FPGAs
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Other documents of the author: León, Germán; González, Carlos; Mayo, Rafael; Mozos, Daniel; Quintana-Orti, Enrique S.
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
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Title
Noise estimation for hyperspectral subspace identification on FPGAsDate
2019-05Publisher
SpringerBibliographic citation
León, G., González, C., Mayo, R. et al. J Supercomput (2019) 75: 1323.Type
info:eu-repo/semantics/articlePublisher version
https://link.springer.com/article/10.1007/s11227-018-2425-3Version
info:eu-repo/semantics/submittedVersionAbstract
We present a reliable and efficient FPGA implementation of a procedure for the computation of the noise estimation matrix, a key stage for subspace identification of hyperspectral images. Our hardware realization is ... [+]
We present a reliable and efficient FPGA implementation of a procedure for the computation of the noise estimation matrix, a key stage for subspace identification of hyperspectral images. Our hardware realization is based on numerically stable orthogonal transformations, avoids the numerical difficulties of the normal equations method for the solution of linear least squares problems (LLS), and exploits the special relations between coupled LLS problems arising in the hyperspectral image. Our modular implementation decomposes the QR factorization that comprises a significant part of the cost into a sequence of suboperations, which can be efficiently computed on an FPGA. [-]
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MINECO (Projects TIN2014-53495-R and TIN2013-40968-P)Rights
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- ICC_Articles [413]