Mathilde Letard
PhD student at the University of Rennes - Learning approaches for remote sensing.I explore how machine learning approaches and deep neural networks can help study natural environments with remote sensing. My research focuses on lidar remote sensing of land-water interfaces.
I joined Geosciences Rennes in the Rivières Team and LETG Rennes in 2021 for a 3 year PhD research project, co-supervised by Dimitri Lague and Thomas Corpetti.
Ongoing research…
Remote sensing of natural environments
Machine learning
3D Point Clouds
LiDAR waveforms
Research funded equally by an ARED Grant from Région Bretagne, financial support from Groupe SAUR and subventions from the Nantes-Rennes LiDAR platform.
Publications and communications
Papers published as first author
2023 [under review] - Letard, M., Lague, D., Le Guennec, A., Lefèvre, S., Feldmann, B., Leroy, P., ... & Corpetti, T. (2023). 3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-Spectral Topo-Bathymetric lidar data.
2022 - Letard, M., Collin, A., Corpetti, T., Lague, D., Pastol, Y., & Ekelund, A. (2022). Classification of Land-Water Continuum Habitats Using Exclusively Airborne Topobathymetric Lidar Green Waveforms and Infrared Intensity Point Clouds. Remote Sensing, 14(2), 341. https://doi.org/10.3390/rs14020341
International Conferences
Letard, M., Corpetti, T., & Lague, D. (2023). Bathymetric lidar waveform decomposition with temporal attentive encoder-decoders. 2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS [in press]
Letard, M., Lague, D., Le Guennec, A., Lefevre, S., Feldmann, B., Leroy, P., Girardeau-Montaut, D., and Corpetti, T.: 3DMASC: accessible, explainable 3D point clouds classification. Application to bi-spectral topo-bathymetric LiDAR data., EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-7115, https://doi.org/10.5194/egusphere-egu23-7115, 2023
Letard, M., Collin, A., Lague, D., Corpetti, T., Pastol, Y., & Ekelund, A. (2022). Using bispectral full-waveform lidar to map seamless coastal habitats in 3D. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2(B3-2022), 463–470. https://doi.org/10.5194/ISPRS-ARCHIVES-XLIII-B3-2022-463-2022
Letard, M., Collin, A., Corpetti, T., Lague, D., Pastol, Y., Gloria, H., James, D., & Mury, A. (2021). Classification of coastal and estuarine ecosystems using full-waveform topo-bathymetric lidar data and artificial intelligence. Oceans Conference Record (IEEE), 2021-September. https://doi.org/10.23919/OCEANS44145.2021.9705797
Letard, M., Collin, A., Lague, D., Corpetti, T., Pastol, Y., Ekelund, A., Pergent, G., & Costa, S. (2021). Towards 3D Mapping of Seagrass Meadows with Topo-Bathymetric Lidar Full Waveform Processing. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8069–8072. https://doi.org/10.1109/IGARSS47720.2021.9554262
Letard, M., Collin, A., James, D., & Mury, A. (2021, May). Trajectoire socio-écologique d'une commune de la Baie du Mont-Saint-Michel entre 1947 et 2014. In SAGEO 2021.
SeaTechWeek 2020
Collaborations as co-author
Research I have collaborated on as a co-author is accessible on my Google Scholar and Research Gate profiles.
Teaching
3D data processing
Practical courses to master students on how to acquire, process and analyze 3D data in the context of geosciences using CloudCompare.
Machine learning
Courses on learning approaches in general, random forest models for classification, and on deep neural networks.Point Cloud classification
Theoretical and practical courses on point cloud classification, namely with our dedicated github scripts and CloudCompare plugin, 3DMASC.