Accueil › Annuaire des chercheurs › Moussa Sofiane Karoui
Moussa Sofiane Karoui
Affiliation : Centre National de la Recherche Scientifique · Agence Spatiale Algérienne · Université de Toulouse
- 80Publications (affiliation algérienne)
- 138Publications au total
- 858Citations
- 13Indice h
Profil de recherche
Moussa Sofiane Karoui compte 80 publications référencées (2009–2025). 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 « Remote Sensing ». 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. 30 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France, Inde, Maroc, Russie.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Remote-Sensing Image Classification
- Spectroscopy and Chemometric Analyses
- Advanced Image Fusion Techniques
- Geochemistry and Geologic Mapping
- Satellite Image Processing and Photogrammetry
Publications (80)
- A Novel Hyperspectral Unmixing Approach Jointly Addressing Nonlinearity and Spectral Variability in Urban Environments
- Nonlinear Unmixing-Based Mucilage Monitoring in the Adriatic Sea
- Detecting and Mapping Potential Pegmatite-Lithium-Rich Areas by an Unmixing-Based Approach Using Hyperspectral Prisma Data
- 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
- Hyperspectral Change Detection By An Unmixing-Nmf-Based Approach Dealing With Spectral Variability
- Urban Vegetation Mapping with Hyperspectral Prisma Data through an Original NMF-Based Unmixing Algorithm Associated with the Augmented Linear Mixing Model Addressing Spectral Variability
- Comparative evaluation of spectral variability-aware mixing models for marine mucilage monitoring
- Generalized Linear Mixing Model Based Environmental Monitoring Of Marine Mucilage
- Nonlinear Unmixing Based Marine Mucilage Monitoring
- A Non-Stellar Big Bright Object Elimination and Star Centroid Extraction Algorithm for Star Tracker
- Addressing Spectral Variability in Hyperspectral Unmixing with a Novel Linear Adaptive Additive Mixing Model and an Associated ADMM-Based Approach
- Active Hyperspectral-Based Projects at the Algerian Space Agency
- A New ADMM-Based Hyperspectral Unmixing Algorithm Associated with a Linear Mixing Model Addressing Spectral Variability with a Multiplicative Structure
- Informed NMF-Based Unmixing Method Addressing Spectral Variability for Marine Mucilage Mapping using Hyperspectral Prisma Data
- An Informed ADMM-Based Approach for Hyperspectral Unmixing Addressing Additively-Adapted Spectral Variability
- A Spectral Analysis-Based Approach for Methane Emission Estimations Using Landsat and Sentinel-2 Data
- An ADMM-Based Approach Associated with a Linear Mixing Model Multiplicatively Tuned to Deal with Spectral Variability in Hyperspectral Unmixing
- Sharpened VIIRS-NTL Data Using Modis Images for Improving Flared Gas Volume Estimations: Case of an Oil Installation in the South of Algeria
- An Admm-Based Hyperspectral Unmixing Algorithm For A Modified Almm Addressing Spectral Variability
- Automatic Desert Off-Road Track Mapping Using The Fusion Of Sentinel-2 And Prisma Data
- Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects
- Partial NMF-based hyperspectral unmixing methods for linear mixing models addressing intra-class variability
- A new star detection approach for a satellite-onboard star tracker
- Land cover changes mapping of the west-Algerian territory: a multiscale data analysis for the estimation of the sustainable goal 15.3.1
- 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
- Unmixing With Spectral Variability for Marine Mucilage Analysis
- The Prediction of Regional Wildfire Risk Using High-Resolution Remotely Sensed Soil Moisture Content Estimation, Case Study: Sidi Douma Forest, Saida, Algeria
- A Nonlinear Spectral Unmixing Based Approach for Measuring Gas Flaring from VIIRS NTL Data: Case of the Flare Fit-M8-101A-1U, Algeria
- 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
- Spectral Unmixing Based Approach for Measuring Gas Flaring from VIIRS NTL Remote Sensing Data: Case of the Flare FIT-M8-101A-1U, Algeria
- 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
- Hyperspectral unmixing with a partial nonnegative matrix factorization-based method for a structured additively-tuned linear mixing model addressing spectral variability
- Flare Parameters Estimation from VIIRS NtL Remote Sensing Data: Improving Classical Approach by Spectral Unmixing
- Hypersharpening Based on Extended Coupled Nonnegative Matrix Factorization Addressing Spectral Variability
- Improving Classical Approach for Flare Parameters Estimation from VIIRS NtL Remote Sensing Data by Linear and Nonlinear Spectral Unmixing Methods
- A new star detection algorithm based on the combination of thresholding and filtering technique
- Spectral Unmixing and Clustering Techniques for Changes Detection in Multitemporal Hyperspectral Remote Sensing Data
- An Inversion of a Modified Water Cloud Model for Soil Moisture Content Estimation Through Sentinel-1 and Landsat-8 Remote Sensing Data
- Local Spectral Super-Resolution for ALSAT-2B Images with Application to Anomaly Detection
- Nonnegative Tensor Factorization Based Fusion for Changes Detection in Multiresolution Remote Sensing Images
- 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
- A New Public Alsat-2B Dataset for Single-Image Super-Resolution
- 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
- End-to-End Change Detection in Satellite Remote Sensing Imagery
- A New Fully Constrained Least Squares-Based Fusion Approach of Optical, Thermal, and SAR Remote Sensing Data for Soil Moisture Content Estimation
- Multibranch Cnn-Based Pansharpening With Skip Connection
- Bi-Directional LSTM Model For Classification Of Vegetation From Satellite Time Series
- An NMF-Based Method For Hyperspectral Unmixing Using A Structured Additively-Tuned Linear Mixing Model To Address Spectral Variability
- Unsupervised Hyperspectral Band Selection By Sequentially Clustering A Mahalanobis-Based Dissimilarity Of Spectrally Variable Endmembers
- 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
- Monitoring And Estimation of The Sustainable Development Goal –Fifteen- By Remote Sensing Tools, Assessment of Change in Land Cover (Sub-Indicator 15.3.1), Case of Algeria
- Low Resolutions Linear Unmixing-Nmf-Based Change Detection Approaches for Multiresolution Remote Sensing Data
- Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data
- A Comparative Study of Star Detection Methods for a Satellite-Onboard Star Tracker
- A pixel-by-pixel NMF-based method for hyperspectral unmixing using a new linear mixing model to address additively-tuned spectral variabilty
- An Unmixing-Based Change Detection Approach for Multiresolution Remote Sensing Images
- Transfering Super Resolution Convolutional Neural Network For Remote Sensing Data Sharpening
- Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data
- Extraction of a Specific Land-cover Class Using Deep Features and SVM One-class Classification
- Hyperspectral and multispectral data fusion based on linear-quadratic nonnegative matrix factorization
- Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data
- A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data
- Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization
- Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction
- Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method
- Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization
- 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
- Improvement of remote sensing multispectral image classification by using Independent Component Analysis
Revues de publication
- IEEE International Geoscience and Remote Sensing Symposium (IGARSS) × 27
- IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS) × 24
- Remote Sensing × 5
- Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing × 5
- Journal of Applied Remote Sensing × 3
- European Signal Processing Conference (EUSIPCO) × 2
Publications par année
- 20258
- 202413
- 20239
- 202214
- 20219
- 20209
- 20194
- 20183
- 20173
- 20163
Collaborations
Établissements partenaires : Université Toulouse III - Paul Sabatier · Institut de Recherche en Astrophysique et Planétologie · Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf · Observatoire Midi-Pyrénées · GIPSA-Lab
Pays des co-auteurs : France · Inde · Maroc · Russie
Co-auteurs
- Fatima Zohra Benhalouche
- Abdelaziz Ouamri
- Yasmine Kheira Benkouider
- Farah Benharrats
- Meziane Iftene
- Oualid Yahia
- Oussama Benabbou
- Mohammed El Amin Larabi
- Lahsen Wahib Kebir
- Mohammed Amine Bouhlala
- Salah Eddine Brezini
- Zoubida Mahi
Données bibliographiques issues d’OpenAlex (base ouverte).
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