Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization

Fatima Zohra Benhalouche, Yannick Deville, Moussa Sofiane Karoui, Abdelaziz Ouamri

Open source

DOI: 10.3390/rs13112132
Published: 2021-05-28
Container: Remote Sensing
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/rs13112132,
  title = {Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization},
  author = {Fatima Zohra Benhalouche and Yannick Deville and Moussa Sofiane Karoui and Abdelaziz Ouamri},
  year = {2021},
  journal = {Remote Sensing},
  doi = {10.3390/rs13112132},
  url = {https://doi.org/10.3390/rs13112132}
}

RIS

TY  - JOUR
TI  - Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization
AU  - Fatima Zohra Benhalouche
AU  - Yannick Deville
AU  - Moussa Sofiane Karoui
AU  - Abdelaziz Ouamri
PY  - 2021
JO  - Remote Sensing
DO  - 10.3390/rs13112132
UR  - https://doi.org/10.3390/rs13112132
ER  -

APA

Benhalouche, F. Z., Deville, Y., Karoui, M. S., & Ouamri, A. (2021). Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization. Remote Sensing. https://doi.org/10.3390/rs13112132

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crossref · retrieved 2026-11-10T08:51:54.960Z