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Cited article:

Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training Samples

Zeng, Ritz, Zhao and Lan
Remote Sensing 12 (3) 400 (2020)
https://doi.org/10.3390/rs12030400

Extraction of Spectral Information from Hyperspectral Data and Application of Hyperspectral Imaging for Food and Agricultural Products

Lankapalli Ravikanth, Digvir S. Jayas, Noel D. G. White, Paul G. Fields and Da-Wen Sun
Food and Bioprocess Technology 10 (1) 1 (2017)
https://doi.org/10.1007/s11947-016-1817-8

The pre-image problem for Laplacian Eigenmaps utilizing L 1 regularization with applications to data fusion

Alexander Cloninger, Wojciech Czaja and Timothy Doster
Inverse Problems 33 (7) 074006 (2017)
https://doi.org/10.1088/1361-6420/aa5489

Biobjective Nonnegative Matrix Factorization: Linear Versus Kernel-Based Models

Fei Zhu and Paul Honeine
IEEE Transactions on Geoscience and Remote Sensing 54 (7) 4012 (2016)
https://doi.org/10.1109/TGRS.2016.2535298

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach

Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cedric Richard and Jean-Yves Tourneret
IEEE Transactions on Geoscience and Remote Sensing 54 (7) 3811 (2016)
https://doi.org/10.1109/TGRS.2016.2528298

Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

Nicolas Dobigeon, Jean-Yves Tourneret, Cedric Richard, et al.
IEEE Signal Processing Magazine 31 (1) 82 (2014)
https://doi.org/10.1109/MSP.2013.2279274