Rechercher
Fermer ce champ de recherche.

Ahed ALBOODY

Equipe : SPECIFI

Titre : IR

ORCID : https://orcid.org/0000-0002-9555-7471

Domaine de recherche

  1. Machine Learning & Deep Learning for High Level Computer Vision (Python Frameworks /Libraries: Tensorflow, Keras, PyTorch, Pandas, Scikit-learn, Numpy, etc.);
  2. Deep Learning & Big HyperSpectral and Multispectral Satellite Data Fusion: Multi-Pan-Sharpening Remote Sensing Images, Satellite Image Fusion, Super-Resolution Image and Data Fusion (Data sets from satellites : Sentinel-2, Sentinel-3, Landsat-8, and from AVIRIS Aerial Imagery) for Ocean Color Extraction;
  3. Deep Learning and Machine Learning for Big Data Hyper Spectral Images Analysis (Classification, Semantic Segmentation) for smart agriculture applications (plants as : Beet Sugar, Potato’s);
  4. Deep Learning and Anomaly detection using Xiema LineScan, Resonon PIKA XC2 and PIKA NIR640 Cameras;
  5. Neural Networks and Qualitative Spatial Reasoning System for Detecting Changes between Multi-Temporal Satellite Images (Change Detection Applications : Urban Areas, Agriculture : Forest and Vegetation Mapping)
  6. -https://orcid.org/0000-0002-9555-7471
  7. -https://hal.archives-ouvertes.fr/search/index/?q=%2A&authIdHal_s=ahed-albood

Ahed ALBOODY

Artificial Intelligence Assistive Fire Detection and Seeing the Invisible Through Smoke using Hyperspectral and Multi-spectral Images

Ahed Alboody, Saeed Mian Qaisar, Gilles Roussel. Artificial Intelligence Assistive Fire Detection and Seeing the Invisible Through Smoke using Hyperspectral and Multi-spectral Images. 13th International Conference on Electronics and Information Technologies (ELIT), IEEE, Sep 2023, Lviv, Ukraine. ⟨hal-04220125⟩

Voir la fiche HAL

Réseau antagoniste génératif pour la fusion spatio-temporelle d'images satellitaires multi-spectrales

Amine Hadir, Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, et al.. Réseau antagoniste génératif pour la fusion spatio-temporelle d'images satellitaires multi-spectrales. XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. pp.773-776. ⟨hal-04129226⟩

Voir la fiche HAL

A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning

Ahed Alboody, Nicolas Vandenbroucke, Alice Porebski, Rosa Sawan, Florence Viudes, et al.. A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning. Remote Sensing, 2023, 15 (14), pp.3455. ⟨10.3390/rs15143455⟩. ⟨hal-04157245⟩

Voir la fiche HAL

DeepSen3: Deep multi-scale learning model for spatial-spectral fusion of Sentinel-2 and Sentinel-3 remote sensing images

Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, et al.. DeepSen3: Deep multi-scale learning model for spatial-spectral fusion of Sentinel-2 and Sentinel-3 remote sensing images. 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2022, Sep 2022, Rome, Italy. ⟨10.1109/WHISPERS56178.2022.9955139⟩. ⟨hal-03714846⟩

Voir la fiche HAL

Complétion par apprentissage profond de séries temporelles d'images multi-spectrales à partir d'images hyper-spectrales

Cheick Tidiani Cissé, Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, et al.. Complétion par apprentissage profond de séries temporelles d'images multi-spectrales à partir d'images hyper-spectrales. XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), Sep 2022, Nancy, France. ⟨hal-03684726⟩

Voir la fiche HAL

A new deep learning method for multispectral image time series completion using hyperspectral data

Cheick Tidiani Cissé, Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, et al.. A new deep learning method for multispectral image time series completion using hyperspectral data. 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. pp.1546-1550, ⟨10.1109/ICASSP43922.2022.9747895⟩. ⟨hal-03540379⟩

Voir la fiche HAL

Assemblage semi-automatique d'images d'une scène agricole pour la construction du cube hyperspectral à partir d'une caméra compacte spatio-spectrale

Pierre Chatelain, Gilles Delmaire, Ahed Alboody, Matthieu Puigt, Gilles Roussel. Assemblage semi-automatique d'images d'une scène agricole pour la construction du cube hyperspectral à partir d'une caméra compacte spatio-spectrale. 7ème Journée Régionale des Doctorants en Automatique et Traitement du Signal (JRDA), Nov 2021, Compiègne, France. ⟨hal-03433808⟩

Voir la fiche HAL

Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves

Pierre Chatelain, Gilles Delmaire, Ahed Alboody, Matthieu Puigt, Gilles Roussel. Semi-Automatic Spectral Image Stitching for a Compact Hybrid Linescan Hyperspectral Camera towards Near Field Remote Monitoring of Potato Crop Leaves. Sensors, 2021, 21 (22), pp.7616. ⟨10.3390/s21227616⟩. ⟨hal-03437729⟩

Voir la fiche HAL

Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images

Bashar Sabouh, Ahed Alboody, Mohamad Najib Salah, Ghadir Hmeidan. Change Detection Types of Buildings in Aleppo Citadel Urban Area During Syrian Crisis Using Self-Organizing Maps Neural Networks and VHR Quickbird & Worldview-2 Satellite Images. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, France. pp.4376-4379, ⟨10.1109/IGARSS47720.2021.9554581⟩. ⟨hal-03512221⟩

Voir la fiche HAL

Experimental comparison of multi-sharpening methods applied to Sentinel-2 MSI and Sentinel-3 OLCI images

Ahed Alboody, Matthieu Puigt, Gilles Roussel, Vincent Vantrepotte, Cédric Jamet, et al.. Experimental comparison of multi-sharpening methods applied to Sentinel-2 MSI and Sentinel-3 OLCI images. 11th Workshop on Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing (WHISPERS), Mar 2021, Amsterdam, Netherlands. pp.293, ⟨10.1109/WHISPERS52202.2021.9484009⟩. ⟨hal-03157209⟩

Voir la fiche HAL

Apprentissage profond et fusion des images hyperspectrales (Sentinel-3 OLCI, AVIRIS, HICO) et multi-spectrales (Sentinel-2, Lansat8 OLI) pour l'extraction des attributs (couleur de l'océan)

Ahed Alboody, Matthieu Puigt, Gilles Roussel. Apprentissage profond et fusion des images hyperspectrales (Sentinel-3 OLCI, AVIRIS, HICO) et multi-spectrales (Sentinel-2, Lansat8 OLI) pour l'extraction des attributs (couleur de l'océan). GdR ISIS (Groupement de Recherche - Information Signal Image Vision) : Extraction d'attributs et apprentissage pour l'analyse des images de télédétection, Oct 2020, Virtuel, France. ⟨hal-03471612⟩

Voir la fiche HAL

Enriching the Qualitative Spatial Reasoning System RCC8

Ahed Alboody, Florence Sèdes, Jordi Inglada. Enriching the Qualitative Spatial Reasoning System RCC8. Qualitative Spatio-Temporal Representation and Reasoning, IGI Global, pp.203-254, 2012, Advances in Geospatial Technologies, 978-1616928681. ⟨10.4018/978-1-61692-868-1.ch006⟩. ⟨hal-03512655⟩

Voir la fiche HAL

Modeling Topological Relations between Uncertain Spatial Regions in Geo-spatial Databases: Uncertain Intersection and Difference Topological Model

Ahed Alboody, Florence Sèdes, Jordi Inglada. Modeling Topological Relations between Uncertain Spatial Regions in Geo-spatial Databases: Uncertain Intersection and Difference Topological Model. 2nd International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA.2010), Apr 2010, Les Menuires, France. pp.56-68, ⟨10.1109/DBKDA.2010.28⟩. ⟨hal-03763194⟩

Voir la fiche HAL

Fuzzy Intersection and Difference Model for Topological Relations

Ahed Alboody, Florence Sèdes, Jordi Inglada. Fuzzy Intersection and Difference Model for Topological Relations. International Fuzzy Systems Association World Congress and Conference of the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2009), European Society for Fuzzy Logic and Technology, Jul 2009, Lisbon, Portugal. pp.1079-1084. ⟨hal-03512741⟩

Voir la fiche HAL

Geo-Spatio-Temporal Ontology for GIR on the Web

Ahed Alboody, Florence Sèdes, Jordi Inglada. Geo-Spatio-Temporal Ontology for GIR on the Web. Workshop on Geographic Information on the Internet (GIIW 2009) @ ECIR 2009, Apr 2009, Toulouse, France. pp.1-12. ⟨hal-03765450⟩

Voir la fiche HAL

Enriching the spatial reasoning system RCC8

Ahed Alboody, Jordi Inglada, Florence Sèdes. Enriching the spatial reasoning system RCC8. ACM SIGSPATIAL Special (Special Interest Group on Spatial Information), 2009, 1 (1), pp.14-20. ⟨10.1145/1517463.1517464⟩. ⟨hal-03512661⟩

Voir la fiche HAL

Multi-level Topological Relations of the Spatial Reasoning System RCC-8

Ahed Alboody, Florence Sèdes, Jordi Inglada. Multi-level Topological Relations of the Spatial Reasoning System RCC-8. 1st International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2009), Mar 2009, Gosier, France. pp.13-21, ⟨10.1109/DBKDA.2009.13⟩. ⟨hal-03512746⟩

Voir la fiche HAL

Analysis of Satellite Imagery for Updating Spatio-Temporal Databases: Application to GIS and CLC

Ahed Alboody, Florence Sèdes, Jordi Inglada. Analysis of Satellite Imagery for Updating Spatio-Temporal Databases: Application to GIS and CLC. 5th International Conference on Geographic Information Systems (ICGIS 2008), Jul 2008, Istanbul, Turkey. pp.102-110. ⟨hal-03771538⟩

Voir la fiche HAL

Post-classification and spatial reasoning: new approach to change detection for updating GIS database

Ahed Alboody, Florence Sèdes, Jordi Inglada. Post-classification and spatial reasoning: new approach to change detection for updating GIS database. 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008), Apr 2008, Damascus, Syria. pp.1-7, ⟨10.1109/ICTTA.2008.4530039⟩. ⟨hal-03512759⟩

Voir la fiche HAL

Aller au contenu principal