Partial NMF-based hyperspectral unmixing methods for linear mixing models addressing intra-class variability

Author:

Iftene Meziane,Benhalouche Fatima Zohra,Benkouider Yasmine Kheira,Karoui Moussa SofianeORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference53 articles.

1. Hyperspectral unmixing based on constrained bilinear or linear-quadratic matrix factorization;Benhalouche;Remote. Sens.,2021

2. Gradient-based NMF methods for hyperspectral unmixing addressing spectral variability with a multiplicative-tuning linear mixing model;Benhalouche,2021

3. Hyperspectral unmixing overview: geometrical, statistical, and sparse regression-based approaches;Bioucas-Dias;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2012

4. A variable splitting augmented lagrangian approach to linear spectral unmixing;Bioucas-Dias,2009

5. Hyperspectral Subspace Identification;Bioucas-Dias;IEEE Trans. Geosci. Remote Sens.,2008

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