Fatima Zohra Benhalouche

Orcid: 0000-0003-2606-7011

According to our database1, Fatima Zohra Benhalouche authored at least 28 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Partial NMF-based hyperspectral unmixing methods for linear mixing models addressing intra-class variability.
Digit. Signal Process., November, 2023

Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects.
Remote. Sens., September, 2023

A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

New Informed Linear Mixing Model And NMF-Based Unmixing Method Addressing Spectral Variability With An Application To Mineral Detection And Mapping Using Prisma Hyperspectral Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Nonlinear Spectral Unmixing Based Approach for Measuring Gas Flaring from VIIRS NTL Data: Case of the Flare Fit-M8-101A-1U, Algeria.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Spectral Unmixing Based Approach for Measuring Gas Flaring from VIIRS NTL Remote Sensing Data: Case of the Flare FIT-M8-101A-1U, Algeria.
Remote. Sens., 2022

Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability.
IEEE Geosci. Remote. Sens. Lett., 2022

A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Improving Classical Approach for Flare Parameters Estimation from VIIRS NtL Remote Sensing Data by Linear and Nonlinear Spectral Unmixing Methods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Minerals Detection and Mapping in the Southwestern Algeria Gara-Djebilet Region with a Multistage Informed NMF-Based Unmixing Approach Using Prisma Remote Sensing Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization.
Remote. Sens., 2021

Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data.
Remote. Sens., 2019

Gradient-Based Joint-Variables Nonnegative Matrix Factorization for Multi-Sharpening Hyperspectral Remote Sensing Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An NMF-Based Approach for Hyperspectral Unmixing Using a New Multiplicative-tuning Linear Mixing Model to Address Spectral Variability.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Méthodes de démélange et de fusion des images multispectrales et hyperspectrales de télédétection spatiale. (Unmixing and fusion methods for remote sensing multispectral and hypersectral images).
PhD thesis, 2018

Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Hyperspectral Imagery for Environmental Urban Planning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Detection And Area Estimation For Photovoltaic Panels In Urban Hyperspectral Remote Sensing Data By An Original Nmf-Based Unmixing Method.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2017

2016
Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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