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Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for
  Spectral Variability

Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability

2 November 2018
Advaith Siddharthan
R. Borsoi
N. A. Murphy
ArXivPDFHTML

Papers citing "Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability"

2 / 2 papers shown
Title
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A
  Comprehensive Review
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
Xin-Ru Feng
Hengchao Li
Rui Wang
Q. Du
X. Jia
Antonio J. Plaza
19
63
0
20 May 2022
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
105
1,342
0
06 Jul 2016
1