Samuel Foucher

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. (Prize / Award).
• 100 best R&D projects of 2017. R&D 100 Conference. (Prize / Award).

Financement

• Grant. (Awarded). Co-applicant. De l'observation de la Terre à distance aux services d'information décisionnelle (DOTS). Natural Sciences and Engineering Research Council of Canada (NSERC). CREATE. 1 650 000 $. (2020-2024)
• Grant. (Awarded). Principal Investigator. Applications de l’informatique quantique aux données géospatiales. Institut Quantique (Sherbrooke). Appel à projets de recherche de l’Institut Quantique. 64 000 $. (2022-2024)
• Grant. (Awarded). Principal Investigator. Projet IQ2-2022 Applications de l’informatique quantique aux données géospatiales. (2022-2024)
• Grant. (Awarded). Co-investigator. Data Analytics for Canadian Climate Services. Canada Foundation for Innovation (CFI). Cyber-Infrastructure. 2 000 000 $. (2018-2023)
• Contract. (Awarded). Co-investigator. 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)
• Contract. (Awarded). Co-investigator. Power Analytics and Visualization for Climate Science. CANARIE Inc (Ottawa, ON). CANARIE’s Research Software Program. 500 000 $. (2016-2018)
• Grant. (Awarded). Principal Applicant. Resolution Enhancement of Satellite Imagery using Deep Learning Techniques. Natural Sciences and Engineering Research Council of Canada (NSERC). ENGAGE. 15 000 $. (2017-2017)
• Grant. (Completed). Principal Applicant. Development of a software module for hyperspectral data correction of moving objects. Natural Sciences and Engineering Research Council of Canada (NSERC). Engage. 25 000 $. (2016-2016)
• Grant. (Completed). Principal Applicant. Video Monitoring of Touch Screen Devices. Natural Sciences and Engineering Research Council of Canada (NSERC). Engage Plus. 25 000 $. (2015-2016)
• Grant. (Completed). Principal Applicant. Object detection in very high resolution satellite imagery based on Computer vision techniques. Natural Sciences and Engineering Research Council of Canada (NSERC). ENGAGE. 25 000 $. (2015-2015)
• Grant. (Awarded). Collaborator. Estimation of Soil Moisture Temporal Dynamics in Vegetated Areas using RADARSAT-2 and Data Fusion. Canadian Space Agency (CSA). EOADP GCP. 100 000 $. (2014-2015)
• Contract. (Awarded). Co-applicant. Surface Water Monitoring and Multi-Temporal Classification of Wetlands Using Multifrequency Fully Polarimetric SAR and Optical Imagery. Canadian Space Agency (CSA). EOADP. 300 000 $. (2013-2015)
• Contract. (Awarded). Co-investigator. 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)
• Contract. (Awarded). Co-applicant. Radarsat-2 Technology for CanVec Hydrological Information Management: Radarsat2-CHIM. Canadian Space Agency (CSA). EOADP. 500 000 $. (2011-2013)
• Grant. (Awarded). Principal Applicant. Video surveillance of human-machine interactions for mobile devices. Natural Sciences and Engineering Research Council of Canada (NSERC). ENGAGE. 25 000 $. (2013-2013)
• Grant. (Completed). Co-applicant. FreeD: Stereo-free 3D Perception of Image-based Rendered Scenes by Servoing Spectator Face Pose Motion to Scene Viewpoint. Natural Sciences and Engineering Research Council of Canada (NSERC). RDC. 15 000 $. (2011-2013)
• Contract. (Completed). Principal Applicant. Speckle Filters for Full and Dual Polarimetric SAR. Natural Resources Canada. 13 000 $. (2013-2013)
• Grant. (Completed). Principal Applicant. Automatic vehicle rear-view detection based on the AutoVu camera system. Natural Sciences and Engineering Research Council of Canada (NSERC). Engage. 25 000 $. (2011-2012)
• Contract. (Completed). Principal Investigator. RCM: Évaluation de filtres du chatoiement radar appliqués aux données polarimétriques compactes.. Canadian Space Agency (CSA). GRIP. 24 000 $. (2012-2012)
• Grant. (Completed). Co-applicant. SmartCaption: Software Tools for Computer-Vision-Assisted Caption Production (Phase 1b). Natural Sciences and Engineering Research Council of Canada (NSERC). Innov. 60 000 $. (2011-2011)
• Grant. (Completed). Co-applicant. SmartCaption: Software Tools for Computer-Vision-Assisted Caption Production. Natural Sciences and Engineering Research Council of Canada (NSERC). Innov. 125 000 $. (2009-2010)

Publications

Articles de revue

• Ojaghi*, S; Bouroubi, Y; Foucher, S; Bergeron, M; Seynat, C. (2023). Deep Learning-Based Emulation of Radiative Transfer Models for Top-of-Atmosphere BRDF Modelling Using Sentinel-3 OLCI. Remote Sensing 15 (3), DOI. (Published).
• Moreni, M*`; Theau, J; Foucher, S. (2023). Do you get what you see? Insights of using mAP to select architectures of pretrained neural networks for automated aerial animal detection. Plos One (Revision Requested).
• Delplanque, A*; Foucher, S; Théau, J; Bussière, E; Vermeulen, C; Lejeune, P. (2023). From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?. ISPRS Journal of Photogrammetry and Remote Sensing 197 167-180. DOI. (Published).
• Delplanque*, A; Lamprey, R; Foucher, S; Théau, J; Lejeune, P. (2023). Surveying wildlife and livestock in Uganda with aerial cameras: Deep Learning reduces the workload of human interpretation by over 70%. Frontiers in Ecology and Evolution, Environmental Informatics and Remote Sensing (Submitted).
• 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 (Submitted).
• 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 (Submitted).
• 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 (Accepted).
• 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 (Submitted).
• Mael, M*; Theau, J; Foucher, S. (2021). Train fast while reducing false positives: improving animal classification performance using Convolutional Neural Networks. Geomatics (Revision Requested).
• 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 (Accepted).
• 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. (Accepted).
• 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. (Published).
• 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 (Published).
• 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. (Published).
• 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. (Published).
• 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. (Accepted).
• 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. (Published).
• Grégory Farage, Samuel Foucher, Goze B. Bénié. (2014). Multiscale Filtering of Polarimetric SAR Images. IEEE Transactions on Image Processing (Submitted).
• 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. (Published).
• 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. (Published).
• 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. (Published).
• L. Gagnon and S. Foucher. (2009). Segmentation of Non-Natural Objects in Landscape Images using Ridgelet Transform. Journal of Electronic Imaging 18 (Accepted).
• 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. (Published).
• 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. (Published).

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. (Published).
• 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. (Accepted).

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). (Published).
• 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). (Published).
• 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). (Published).
• 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. (Published).
• 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). (Published).
• Foucher, S; Beaulieu, M*; Cavayas, F; Dahmane, M. (2019). Revisiting an Iterative Speckle Filtering Technique. International Geoscience and Remote Sensing Symposium (IGARSS). (Published).
• 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). (Published).
• 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. (Accepted).
• 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). (Published).
• S. Foucher, M. Beaulieu, M. Dahmane and F. Cavayas. (2017). Deep Speckle Noise Filtering. IGARSS'2017. (In Press).
• F.-X. Derue and M. Dahmane and M. Lalonde and S. Foucher. (2017). Exploiting Semantic Segmentation for Robust Camera Motion Classification. ICIAR'2017. (In Press).
• Sghaier MO*, Hammami I, Foucher S, Lepage R. (2017). Flood Hazard Mapping from SAR Images Using Texture Analysis and Fuzzy Logic. IGARSS'2017. (In Press).
• M. Dahmane, S. Foucher, and D. Byrns. (2017). Latent Gender and Smile Recognition from Deep Features. ICIAR'2017. (In Press).
• 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). (Published).
• 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. (In Press).
• 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). (Published).
• Mohamed Dahmane, Marc Lalonde, Samuel Foucher. (2016). Head Direction Estimation for Human Attention Assessment. International Scientific and Interdisciplinary Conference on Digital Intelligence (DI 2016). (Published).
• 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). (Published).
• 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. (Accepted).
• Philippe Salembier, Samuel Foucher, Carlos Lopez-Martinez. (2014). LOW-LEVEL PROCESSING OF POLSAR IMAGES WITH BINARY PARTITION TREES. IGARSS, 1025-1028. (Published).
• 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. (Published).
• Samuel Foucher, Carlos López-Martínez, François Charbonneau. (2012). THE POLARIMETRIC RATIO FILTER APPLIED TO POLINSAR IMAGES. IGARSS, (Published).
• 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, (Published).
• Foucher, S., Lalonde, M. and Gagnon, L,. (2010). Automatic Scene Modeling for Improving Object Classification. Visual Information Processing XIX, (Published).
• M. Lalonde, S. Foucher, L. Gagnon. (2010). Unconstrained License Plate Detection Using the Hausdorff Distance. Visual Information Processing XIX, (Published).
• Chapdelaine, C., Foucher, S. and Gagnon, L. (2009). Impact of Gaze Analysis on the Design of a Caption Production Software. HCII 2009, 314-323. (Published).
• G. Farage*, S. Foucher, C. López-Martínez and G. B. Bénié. (2009). Turbo Speckle Filtering Applied to PolSAR Data. IGARSS 2008, 25-28. (Published).
• 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, (Published).
• 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. (Published).

Autres contributions

Activités de collaboration internationale

• Participant. United States of America. OGC Pilot project.
• Participant. United States of America. OGC Testbed - 16:.

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