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Samuel Foucher

Professeur, Faculté des lettres et sciences humaines

FLSH Géomatique appliquée

Présentation

Sujet de recherche

Télémétrie (télédétection, radar), Statistique informatique, Algorithmes

Disciplines de recherche

Sciences de la terre (géologie, géographie physique, etc.), Informatique, Génie informatique et génie logiciel

Mots-clés

Télédétection, Synthetic Aperture Radar, Apprentissage profond, Débruitage d'images, Changements climatiques, Ondelettes, Polarimétrie, Traitement d'images

Langues parlées et écrites

Anglais, Français

Diplômes

(2001). (Doctorat, ). Université de Sherbrooke.

(1995). (Diplôme, ). Ecole Nationale Supérieure des Télécommunications de Bretagne.

(1995). (Maîtrise avec mémoire, ). Université de Rennes I.

(1991). (Équivalent du baccalauréat, ). Université de Nantes.

Expérience académique

Senior Researcher. (2012-). Centre de recherche informatique de Montréal. Canada.

Senior Researcher and Team Director. (2013-2019). Centre de recherche informatique de Montréal. Canada.

Adjunct Professor. (2016-2018). École de technologie supérieure. Canada.

Adjunct Professor. (2004-2014). Université de Sherbrooke. Canada.

Researcher. (2002-2011). Centre de recherche informatique de Montréal. Canada.

Prix et distinctions

  • (2006) Prize winner for the 2006 Octas in partnership with the company Videowave Inc. in the category "Technological Innovation". Réseau ACTION TI. (Prix).
  • 100 best R&D projects of 2017. R&D 100 Conference. (Prix).

Financement

  • Subvention. (Obtenu). Cocandidat. De l'observation de la Terre à distance aux services d'information décisionnelle (DOTS). Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). CREATE. 1 650 000 $. (2020-2024)
  • Subvention. (Obtenu). Cochercheur. Data Analytics for Canadian Climate Services. Fondation Canadienne pour l'Innovation (FCI). Cyber-Infrastructure. 2 000 000 $. (2018-2023)
  • Contrat. (Obtenu). Cochercheur. GeoImageNet : A Collaborative Platform for the Annotation of VHR Images. CANARIE Inc (Ottawa, ON). Research Software Program - Call for Proposals 2b for Competitive Funding: Reuse of Scientific Platf. 219 768 $. (2018-2020)
  • Contrat. (Obtenu). Cochercheur. Power Analytics and Visualization for Climate Science. CANARIE Inc (Ottawa, ON). CANARIE’s Research Software Program. 500 000 $. (2016-2018)
  • Subvention. (Obtenu). Candidat principal. Resolution Enhancement of Satellite Imagery using Deep Learning Techniques. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). ENGAGE. 15 000 $. (2017-2017)
  • Subvention. (Terminé). Candidat principal. Development of a software module for hyperspectral data correction of moving objects. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). Engage. 25 000 $. (2016-2016)
  • Subvention. (Terminé). Candidat principal. Video Monitoring of Touch Screen Devices. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). Engage Plus. 25 000 $. (2015-2016)
  • Subvention. (Terminé). Candidat principal. Object detection in very high resolution satellite imagery based on Computer vision techniques. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). ENGAGE. 25 000 $. (2015-2015)
  • Subvention. (Obtenu). Collaborateur. Estimation of Soil Moisture Temporal Dynamics in Vegetated Areas using RADARSAT-2 and Data Fusion. Agence Spatiale Canadienne (ASC). EOADP GCP. 100 000 $. (2014-2015)
  • Contrat. (Obtenu). Cocandidat. Surface Water Monitoring and Multi-Temporal Classification of Wetlands Using Multifrequency Fully Polarimetric SAR and Optical Imagery. Agence Spatiale Canadienne (ASC). EOADP. 300 000 $. (2013-2015)
  • Contrat. (Obtenu). Cochercheur. Web Service for the Update of the National Hydro Network using Landsat-8 Imagery. CANARIE Inc (Ottawa, ON). Research Middleware Program. 81 000 $. (2013-2014)
  • Contrat. (Obtenu). Cocandidat. Radarsat-2 Technology for CanVec Hydrological Information Management: Radarsat2-CHIM. Agence Spatiale Canadienne (ASC). EOADP. 500 000 $. (2011-2013)
  • Subvention. (Obtenu). Candidat principal. Video surveillance of human-machine interactions for mobile devices. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). ENGAGE. 25 000 $. (2013-2013)
  • Subvention. (Terminé). Cocandidat. FreeD: Stereo-free 3D Perception of Image-based Rendered Scenes by Servoing Spectator Face Pose Motion to Scene Viewpoint. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). RDC. 15 000 $. (2011-2013)
  • Contrat. (Terminé). Candidat principal. Speckle Filters for Full and Dual Polarimetric SAR. Ressources naturelles Canada. 13 000 $. (2013-2013)
  • Subvention. (Terminé). Candidat principal. Automatic vehicle rear-view detection based on the AutoVu camera system. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). Engage. 25 000 $. (2011-2012)
  • Contrat. (Terminé). Chercheur principal. RCM: Évaluation de filtres du chatoiement radar appliqués aux données polarimétriques compactes.. Agence Spatiale Canadienne (ASC). GRIP. 24 000 $. (2012-2012)
  • Subvention. (Terminé). Cocandidat. SmartCaption: Software Tools for Computer-Vision-Assisted Caption Production (Phase 1b). Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). Innov. 60 000 $. (2011-2011)
  • Subvention. (Terminé). Cocandidat. SmartCaption: Software Tools for Computer-Vision-Assisted Caption Production. Conseil de Recherches en Sciences Naturelles et Génie du Canada (CRSNG). Innov. 125 000 $. (2009-2010)

Publications

Articles de revue

  • Tlili, A*; Cavayas, F; Foucher, S. (2021). A New Formulation of the Anisotropic Adaptive Gaussian Filter for Interferogram Filtering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Article soumis).
  • Turgeon-Pelchat, M*; Foucher, S; Bouroubi, Y. (2021). Deep Learning-based Classification of Large-scale Airborne Lidar Point Cloud for Land Cover Applications. Canadian Journal of Remote Sensing (Article soumis).
  • Delplanque, A*; Foucher, S; Lejeune, P; Linchant, J; Théau, J. (2021). Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks. Remote Sensing in Ecology and Conservation (Article accepté).
  • De la Sablonnière, S*; Foucher, S; Yacine, Y; Lord, É; Vigneault, P. (2021). Riparian Buffer Characterization in Agricultural Environments using Multi-View Deep Convolutional Neural Networks (MVDCNN) and Satellite Images. Remote Sensing of Environment (Article soumis).
  • Mael, M*; Theau, J; Foucher, S. (2021). Train fast while reducing false positives: improving animal classification performance using Convolutional Neural Networks. Geomatics (Révision demandée).
  • Dahmane M, Alam J, St-Charles PL, Lalonde, M, Heffner K, Foucher S. (2020). A Multimodal Non-Intrusive Stress Monitoring from the Pleasure-Arousal Emotional Dimensions. IEEE Transactions on Affective Computing (Article accepté).
  • Tlili, A*; Cavayas, F; Foucher, S; Siles, G. (2020). A New Interferometric Phase Unwrapping Method Based on Energy Minimization from Contextual Modeling. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 6524-6532. (Article accepté).
  • Boulent, J*; St-Charles, P-L; Foucher, S; Theau, J. (2020). Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning. Frontiers in Artificial Intelligence 3 96. (Article publié).
  • Boulent J*, St-Charles P-L, Foucher S, Theau J. (2020). Automatic detection of Flavescence dorée symptoms across white grapevine varieties using deep learning. Frontiers in Artificial Intelligence (Article soumis).
  • Boulent, J*; Foucher, S; Théau, J; St-Charles, P-L*. (2019). Convolutional Neural Networks for the Automatic Identification of Plant Pests and Diseases : a Review. Frontiers in Plant Science, section Technical Advances in Plant Science 10 (Article publié).
  • Sghaier Ouled M*, Hammami I, Foucher S, Lepage R. (2018). Flood damage assessment from time-series SAR images based on texture analysis and data fusion. Remote Sensing 10 (2), DOI. (Article publié).
  • Philippe Salembier and Samuel Foucher. (2016). Optimum Graph-Cuts for Pruning Binary Partition Trees of Polarimetric SAR images. IEEE Trans. on Geoscience and Remote Sensing 54 (9), 5493-5502. (Article publié).
  • Ouled Sghaier M*, Foucher S, Lepage R. (2016). River Extraction from High-Resolution SAR Images Combining a Structural Feature Set and Mathematical Morphology. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (3), 1025 - 1038. (Article accepté).
  • Samuel Foucher, Carlos Lopez-Martinez. (2014). Analysis, Evaluation and Comparison of Polarimetric SAR Speckle Filtering Techniques. IEEE Transactions on Image Processing 23 (4), 1751-1764. (Article publié).
  • Grégory Farage, Samuel Foucher, Goze B. Bénié. (2014). Multiscale Filtering of Polarimetric SAR Images. IEEE Transactions on Image Processing (Article soumis).
  • Mora*, B., Fournier, R. A. and Foucher, S. (2012). Mapping the health of mature deciduous forest stands by fusing multisource geospatial data with Dempster’s combination rule. International Journal of Remote Sensing 33, 1139-1163 (4), 1139-1163. (Article publié).
  • Mora*, B., Fournier, R. A. and Foucher, S. (2011). Application of evidential reasoning to improve the mapping of regenerating forest stands. International Journal of Applied Earth Observation and Geoinformation 13 (2), 458-467. (Article publié).
  • M. Héritier, L. Gagnon and S. Foucher. (2009). Places Clustering of Full-Length Film Key-frames using Latent Aspects Modeling over SIFT Matches. IEEE Trans. on Circuits and Systems for Video Technology 19 (6), 832-841. (Article publié).
  • L. Gagnon and S. Foucher. (2009). Segmentation of Non-Natural Objects in Landscape Images using Ridgelet Transform. Journal of Electronic Imaging 18 (Article accepté).
  • L. Gagnon, S. Foucher, F. Laliberté, and G. Boulianne. (2008). A Simplified Audio-Visual Fusion Model with Application to Large Vocabulary Recognition of French Canadian Speech. IEEE Canadian Journal of Electrical and Computer Engineering 33 (2), 109-119. (Article publié).
  • S. Foucher, G. Farage*, G.B. Bénié. (2007). Polarimetric SAR Image Filtering With Trace-Based Partial Differential Equations. Canadian Journal on Remote Sensing 33 (3), 226-236. (Article publié).

Chapitres de livre

  • Thomas Triplet, Samuel Foucher. (2015). Clustering of Geospatial Big-data in a Distributed Environment. Shashi Shekhar, University of Minnesota, and Hui Xiong, Rutgers University. Encyclopedia of GIS (2, 121-130). Springer. (Article publié).
  • Chapdelaine, C., Foucher, S. and Gagnon, L. (2009). Impact of Gaze Analysis on the Design of a Caption Production Software. Constantine Stephanidis. Universal Access in Human-Computer Interaction. Applications and Services (Lecture Notes in Computer Science, 5616, 314-323). Springer Berlin Heidelberg. (Article accepté).

Rapports

  • Landry, T et al. (2020). OGC Earth Observation Applications Pilot: CRIM Engineering Report. OGC. 50 p.
  • Samuel Foucher, Marc Lalonde, Amir Baniamerian. (2016). An Automated System for Visual Monitoring of Software Performance on Mobile Devices. Centre de recherche informatique de Montréal. 30 p.
  • Djado, K., Derenne, M., Byrns, D., Foucher, S., Gagnon, L., Landry, T. (2013). Rapport final des projets FREEDNG et FREEDNQ. Centre de recherche informatique de Montréal. 80 p.
  • Beaulieu, M., Foucher, S., Landry, T. (2012). Patrimoine GÉO-TI. Centre de recherche informatique de Montréal. 50 p.

Articles de conférence

  • Tlili, A*; Cavayas, F; Foucher, S. (2019). A New Interferometric Phase Unwrapping Method Based on Energy Minimization from Contextual Modeling. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • Landry, T; Sotir, M; Rajotte, J-F; Byrns, D; Charette-Migneault, F; Beaulieu, M; St-Charles, P-L; Foucher, S; Chapdelaine, C; Tlili, A*; Noiseux, C. (2019). Applying Machine Learning to Earth Observations In A Standards Based Workflow. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • Dahmane, M; St-Charles, P-L; Lalonde, M; Heffner, K; Foucher, S. (2019). Arousal and Valence Estimation for Visual Non-Intrusive Stress Monitoring. 9th International Conference on Image Processing Theory, Tools and Applications (IPTA). (Article publié).
  • Boulent, J*; Beaulieu, M; St-Charles, P-L*; Theau, J; Foucher, S. (2019). Deep learning for in-field image-based grapevine downy mildew identification. Precision Agriculture'19. (Article publié).
  • Ouled Sghaier, M; Foucher, S; Landry, T. (2019). Multimodal Approach for Flood Monitoring from Time-Series Satellite Images Combining Attribute Filters and Kohonen Map. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • Foucher, S; Beaulieu, M*; Cavayas, F; Dahmane, M. (2019). Revisiting an Iterative Speckle Filtering Technique. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • Ouled Sghaier, M; Foucher, S; Lepage, R; Landry, T. (2018). A Multiscale Based Approach for River Extraction from SAR Images Using Attribute Filters. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • Landry T, Foucher S et al. (2018). Bridging Climate and Earth Observation Data Analytics in a Federated Cloud Infrastructure using Interoperable Multidisciplinary Workflows. 2018 IEEE International Geoscience and Remote Sensing Symposium. 426-429. (Article accepté).
  • Mario Beaulieu and Samuel Foucher and Dan Haberman and Colin Stewart. (2018). Deep Image-to-Image Transfer Applied to Resolution Enhancement of Sentinel-2 Images. International Geoscience and Remote Sensing Symposium (IGARSS). (Article publié).
  • S. Foucher, M. Beaulieu, M. Dahmane and F. Cavayas. (2017). Deep Speckle Noise Filtering. IGARSS'2017. (Article sous presse).
  • F.-X. Derue and M. Dahmane and M. Lalonde and S. Foucher. (2017). Exploiting Semantic Segmentation for Robust Camera Motion Classification. ICIAR'2017. (Article sous presse).
  • Sghaier MO*, Hammami I, Foucher S, Lepage R. (2017). Flood Hazard Mapping from SAR Images Using Texture Analysis and Fuzzy Logic. IGARSS'2017. (Article sous presse).
  • M. Dahmane, S. Foucher, and D. Byrns. (2017). Latent Gender and Smile Recognition from Deep Features. ICIAR'2017. (Article sous presse).
  • Ouled Sghaier, M; Hammami, I; Foucher, S; Lepage, R. (2017). Stroke Width Transform for Linear Structure Detection: Application to River and Road Extraction from High-Resolution Satellite Images. International Conference Image Analysis and Recognition (ICIAR). (Article publié).
  • M. Dahmane, S. Foucher, M. Beaulieu, F. Riendeau, Y. Bouroubi, and M.Benoit. (2017). The Potential of Deep Features for Small Object Class Identication in Very High Resolution Remote Sensing Imagery. ICIAR'2017. (Article sous presse).
  • Moslem Ouled Sghaier; Samuel Foucher; Richard Lepage; Mohamed Dahmane. (2016). COMBINATION OF TEXTURE AND SHAPE ANALYSIS FOR A RAPID RIVERS EXTRACTION FROM HIGH RESOLUTION SAR IMAGES. IEEE International Conference on Geoscience and Remote Sensing (IGARSS). (Article publié).
  • Mohamed Dahmane, Marc Lalonde, Samuel Foucher. (2016). Head Direction Estimation for Human Attention Assessment. International Scientific and Interdisciplinary Conference on Digital Intelligence (DI 2016). (Article publié).
  • Mohamed Dahmane; Samuel Foucher; Mario Beaulieu; François Riendeau; Yacine Bouroubi; Mathieu Benoit. (2016). Object Detection in Pleiade Images using Deep Features. IEEE International Conference on Geoscience and Remote Sensing (IGARSS). (Article publié).
  • Marc Lalonde, Claude Chapdelaine, Samuel Foucher. (2015). Localizing people in crosswalks with a moving handheld camera: proof of concept. Image Processing: Machine Vision Applications VIII, 9405-36. (Article accepté).
  • Philippe Salembier, Samuel Foucher, Carlos Lopez-Martinez. (2014). LOW-LEVEL PROCESSING OF POLSAR IMAGES WITH BINARY PARTITION TREES. IGARSS, 1025-1028. (Article publié).
  • Samuel Foucher, Tom Landry, Carlos López-Martínez, François Charbonneau, Langis Gagnon. (2012). AN EVALUATION OF POLSAR SPECKLE FILTERS ON COMPACT-POL IMAGES. IGARSS 2012, 5089-5092. (Article publié).
  • Samuel Foucher, Carlos López-Martínez, François Charbonneau. (2012). THE POLARIMETRIC RATIO FILTER APPLIED TO POLINSAR IMAGES. IGARSS, (Article publié).
  • Samuel Foucher, Marc Lalonde, Langis Gagnon. (2011). A system for airport surveillance: detection of people running, abandoned objects, and pointing gestures. Visual Information Processing XX 805610, (Article publié).
  • Foucher, S., Lalonde, M. and Gagnon, L,. (2010). Automatic Scene Modeling for Improving Object Classification. Visual Information Processing XIX, (Article publié).
  • M. Lalonde, S. Foucher, L. Gagnon. (2010). Unconstrained License Plate Detection Using the Hausdorff Distance. Visual Information Processing XIX, (Article publié).
  • Chapdelaine, C., Foucher, S. and Gagnon, L. (2009). Impact of Gaze Analysis on the Design of a Caption Production Software. HCII 2009, 314-323. (Article publié).
  • G. Farage*, S. Foucher, C. López-Martínez and G. B. Bénié. (2009). Turbo Speckle Filtering Applied to PolSAR Data. IGARSS 2008, 25-28. (Article publié).
  • B. Mora, B., R. Fournier, S. Foucher, G.B. Bénié and K. Lowell. (2008). Apports de paramètres biophysiques spatialisés à l’imagerie satellitaire pour l’amélioration de la cartographie de peuplements forestiers en regénération. AQT, (Article publié).
  • B. Mora*, R. Fournier, S. Foucher, G. B. Bénié, K. Lowell. (2008). Evidential Reasoning Applied To Mapping Regeneration of Forest Stand Using Multisource Geospatial Data. IGARSS 2008, 848-851. (Article publié).

Autres contributions

Activités de collaboration internationale

  • Participant. États-Unis. Band d'essai de l'OGC.
  • Participant. États-Unis. Projet pilote de l'OGC.

Présentations

  • Y. Bouroubi, C. Chapdelaine, S. Foucher, D. Byrns, M. Beaulieu, P.-L. St-Charles, M. Germain, P. Bugnet, N. Sabo, C. Gosselin. (2019). GeoImageNet: A Collaborative Platform for Deep Learning Application to Very High Resolution EO Images. 40th Canadian Symposium on Remote Sensing and Geomatics Atlantic. Fredericton
  • (2019). GeoImageNet : une plateforme collaborative pour l'application de l'apprentissage profond aux images satellites à très haute résolution. 24e Journée INNOVATION en Géomatique du Centre canadien de cartographie et d’observation de la Terre. Sherbrooke, Canada
  • T. Landry, P.-L. St-Charles, F. Charette-Migneault, S. Foucher. (2019). Lake-river Discrimination Using Deep Learning in EOC Workflows. 112th OGC Technical Committee. Banff
  • P.-L. St-Charles, D. Byrns, F. Charette-Migneault, E. Gavelle. (2019). Reconnaissance d’essences forestières par techniques d’apprentissage profond pour imagerie aérienne. 87e Congrès de l'ACFAS. Gatineau
  • D. Byrns, P.-L. St-Charles, F. Charette Migneault, E. Gavelle, S. Foucher, K. Heffner. (2019). Tree Species Recognition Using Deep Learning for Drone-Acquired Very High Resolution Imagery, 40th Canadian Symposium on Remote Sensing and Geomatics Atlantic, F. 40th Canadian Symposium on Remote Sensing and Geomatics Atlantic. Fredericton
  • S. Foucher and M. Beaulieu and M. Dahmane and F. Cavayas. (2017). Speckle Filtering in Polarimetric SAR Images based on a Deep Learning Approach. Earth Observation Summit 2017. Montreal, Canada
  • (2015). A Multi-temporal and Multi-source Classification System For Land Cover Mapping Using RADARSAT-2 PolSAR Images. Advanced SAR Workshop. St-Hubert, Canada
  • Foucher S, Heffner K, Landry T. (2015). Drones et vision par ordinateur embarquée. Association Québécoise de Télédétection. Québec, Canada
  • (2013). Improving Hydrological Information Management: Inland Bodies Water Mapping with RADARSAT-2. Advanced SAR Workshop. St-Hubert, Canada