Unmixing of large-scale hyperspectral data based on projected mini-batch gradient descent

DOI10.1142/S021969131750059XzbMath1378.65122OpenAlexW2755535323MaRDI QIDQ4595571

Xiaorun Li, Jing Li, Liaoying Zhao

Publication date: 5 December 2017

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021969131750059x

zbMATH Keywords

algorithmnumerical examplenonnegative matrix factorizationhyperspectral unmixingprojected mini-batch gradient descent

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Direct numerical methods for linear systems and matrix inversion (65F05)

Cites Work

• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization

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