Accueil › Annuaire des chercheurs › Yannick Deville
Yannick Deville
Affiliation : Centre National de la Recherche Scientifique · Institut de Recherche en Astrophysique et Planétologie · Université de Toulouse
- 61Publications (affiliation française)
- 389Publications au total
- 4006Citations
- 26Indice h
Profil de recherche
Yannick Deville compte 61 publications référencées (2008–2025). Ses travaux paraissent principalement dans « IEEE International Geoscience and Remote Sensing Symposium (IGARSS) », « IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) » et « IEEE International Conference on Acoustics Speech and Signal Processing ». Son article le plus cité, « Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Dat » (2019), a été cité 50 fois. 17 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Algérie, Inde, Maroc, Tunisie.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Blind Source Separation Techniques
- Remote-Sensing Image Classification
- Speech and Audio Processing
- Spectroscopy and Chemometric Analyses
- Quantum Information and Cryptography
Publications (61)
- A Novel Hyperspectral Unmixing Approach Jointly Addressing Nonlinearity and Spectral Variability in Urban Environments
- Nonlinear Unmixing-Based Mucilage Monitoring in the Adriatic Sea
- Improved Hyperspectral Unmixing Algorithm Involving the Multiplicative NMF Concept for Additive Mixing Model Dealing with Spectral Variability
- Marine Mucilage Mapping Using a Partial Linear-Quadratic Hyperspectral Unmixing NMF-Based Approach
- Comparative evaluation of spectral variability-aware mixing models for marine mucilage monitoring
- Nonlinear Unmixing Based Marine Mucilage Monitoring
- Addressing Spectral Variability in Hyperspectral Unmixing with a Novel Linear Adaptive Additive Mixing Model and an Associated ADMM-Based Approach
- A New ADMM-Based Hyperspectral Unmixing Algorithm Associated with a Linear Mixing Model Addressing Spectral Variability with a Multiplicative Structure
- Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution
- Informed NMF-Based Unmixing Method Addressing Spectral Variability for Marine Mucilage Mapping using Hyperspectral Prisma Data
- An ADMM-Based Approach Associated with a Linear Mixing Model Multiplicatively Tuned to Deal with Spectral Variability in Hyperspectral Unmixing
- An Admm-Based Hyperspectral Unmixing Algorithm For A Modified Almm Addressing Spectral Variability
- Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability
- Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects
- A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm
- 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
- Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming
- Hyperspectral Unmixing with a Modified Augmented Linear Mixing Model Addressing Spectral Variability
- 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
- A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing
- Imagerie Hyperspectrale Et Zones Urbaines: Résultats Du Projet HYEP
- Hypersharpening Based on Extended Coupled Nonnegative Matrix Factorization Addressing Spectral Variability
- Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation
- Decontamination of galaxy spectra using four dispersion directions
- Décontamination des spectres de galaxies en exploitant quatre directions de dispersion
- Séparation de Sources en Mélanges Convolutifs Sous-déterminés Combinant Masquage et formation de voie
- A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model
- Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability
- Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization
- An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data
- Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model
- Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability
- An NMF-Based Method For Hyperspectral Unmixing Using A Structured Additively-Tuned Linear Mixing Model To Address Spectral Variability
- Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint
- Detecting And Mapping Kaolinite In The Algerian Central Hoggar With A Partial Linear Nmf-Based Unmixing Method
- A Linear NMF-Unmixing-Based Approach Addressing Spectral Variability For Shadow Compensation In Hyperspectral Remote Sensing Data
- Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data
- A pixel-by-pixel NMF-based method for hyperspectral unmixing using a new linear mixing model to address additively-tuned spectral variabilty
- Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data
- Hyperspectral and multispectral data fusion based on linear-quadratic nonnegative matrix factorization
- A second-order blind source separation method for bilinear mixtures
- Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data
- Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization
- Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method
- Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction
- A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model
- Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization
- A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model
- Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties
- Blind unmixing of remote sensing data with some pure pixels: Extension and comparison of spatial methods exploiting sparsity and nonnegativity properties
- Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis
- Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints
- A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels
- Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization
- Nonlinear Blind Source Separation Applied to a Simple Bijective Model
- Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain
- Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation
- Improvement of remote sensing multispectral image classification by using Independent Component Analysis
- Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation
- Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain
- Contribution of non-negative matrix factorization to the classification of remote sensing images
Revues de publication
- IEEE International Geoscience and Remote Sensing Symposium (IGARSS) × 17
- IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) × 8
- IEEE International Conference on Acoustics Speech and Signal Processing × 4
- Remote Sensing × 4
- Lecture notes in computer science × 4
- Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing × 3
Publications par année
- 20255
- 20247
- 20235
- 20229
- 20216
- 20204
- 20192
- 20181
- 20173
- 20164
Collaborations
Établissements partenaires : Université Toulouse III - Paul Sabatier · Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf · Agence Spatiale Algérienne · GIPSA-Lab · Observatoire Midi-Pyrénées
Pays des co-auteurs : Algérie · Inde · Maroc · Tunisie
Co-auteurs
- Moussa Sofiane Karoui
- Shahram Hosseini
- Fatima Zohra Benhalouche
- Salah Eddine Brezini
- Abdelaziz Ouamri
- Mostafa Bella
- Tristan Grégoire
- Xavier Briottet
- Lina Jarboui
- T. Contini
- Thomas Houet
- Andréa Guerrero
Données bibliographiques issues d’OpenAlex (base ouverte).
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