Support vector machines regression for estimation of forest parameters from airborne laser scanning data. - Jean-Matthieu Monnet; Frédéric Berger; Jocelyn Chanussot (IGARSS, 2010)

Support Vector Regression for the Estimation of Forest Stand Parameters Using Airborne Laser Scanning. - Jean-Matthieu Monnet; Jocelyn Chanussot; Frédéric Berger (IEEE Geosci. Remote. Sens. Lett., 2011)

Reconstruction of Airborne Laser Scanner Trajectory From Data. - Florian de Boissieu; Marc Lang; Jean-Baptiste Féret; Jean-Matthieu Monnet; Sylvie Durrieu (IGARSS, 2019)

Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest. - Eduardo Tusa; Jean-Matthieu Monnet; Jean-Baptiste Barré; Mauro Dalla Mura; Michele Dalponte; Jocelyn Chanussot (IEEE Geosci. Remote. Sens. Lett., 2021)

Building a Network of Overmature Forests Using Airborne Laser Scanning and Landscape Graphs. - Etienne Lalechère; Laurent Bergès; Julie Vacher; Jean-Matthieu Monnet; Marc Fuhr (IGARSS, 2022)

Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks. - Kamel Lahssini; Florian Teste; Karun Reuel Dayal; Sylvie Durrieu; Dino Ienco; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach. - Karun Reuel Dayal; Sylvie Durrieu; Kamel Lahssini; Dino Ienco; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)