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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.

F. Benhalouche, O. Benabbou, O. Yahia, M. Karoui, Y. Deville, L. Kebir, and A. Bennia. IGARSS, page 7539-7542. IEEE, (2023)

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Fatima Zohra Mesri

Zohra Sbaï

Zohra Saoud

Maryam Zohravi

Vida Zohrabi-Kalantari

Other publications of authors with the same name

Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers.F. Benhalouche, M. Karoui, and Y. Deville. WHISPERS, page 1-5. IEEE, (2018)Improving Classical Approach for Flare Parameters Estimation from VIIRS NtL Remote Sensing Data by Linear and Nonlinear Spectral Unmixing Methods.F. Benhalouche, M. Karoui, F. Benharrats, and M. Bouhlala. IGARSS, page 1788-1791. IEEE, (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.F. Benhalouche, O. Benabbou, M. Karoui, L. Kebir, A. Bennia, and Y. Deville. IGARSS, page 6422-6425. IEEE, (2022)Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data.Y. Benkouider, F. Benhalouche, M. Karoui, Y. Deville, and S. Hosseini. WHISPERS, page 1-5. IEEE, (2018)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.F. Benhalouche, O. Benabbou, O. Yahia, M. Karoui, Y. Deville, L. Kebir, and A. Bennia. IGARSS, page 7539-7542. IEEE, (2023)A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm.M. Karoui, F. Benhalouche, and Y. Deville. IGARSS, page 7535-7538. IEEE, (2023)Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method.F. Benhalouche, Y. Deville, M. Karoui, and A. Ouamri. MLSP, page 1-6. IEEE, (2016)Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction.F. Benhalouche, Y. Deville, M. Karoui, and A. Ouamri. IGARSS, page 6565-6568. IEEE, (2016)Partial NMF-based hyperspectral unmixing methods for linear mixing models addressing intra-class variability.M. Iftene, F. Benhalouche, Y. Benkouider, and M. Karoui. Digit. Signal Process., (November 2023)A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model.S. Brezini, Y. Deville, M. Karoui, F. Benhalouche, and A. Ouamri. IGARSS, page 3841-3844. IEEE, (2021)

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