Cédric Véga

According to our database, Cédric Véga authored at least 14 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving GEDI Footprint Geolocation Using a High-Resolution Digital Elevation Model.

Anouk Schleich, Sylvie Durrieu, Maxime Soma, Cédric Véga

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach.

Martin Schwartz, Philippe Ciais, Catherine Ottlé, Aurélien de Truchis, Cédric Véga, Ibrahim Fayad, Martin Brandt, Rasmus Fensholt, Nicolas N. Baghdadi, François Morneau, David Morin, Dominique Guyon, Sylvia Dayau, Jean-Pierre Wigneron

CoRR, 2022

Modelling forest volume with small area estimation of forest inventory using GEDI footprints as auxiliary information.

Shaohui Zhang, Cédric Véga, Christine Deleuze, Sylvie Durrieu, Pierre Barbillon, Olivier Bouriaud, Jean-Pierre Renaud

Int. J. Appl. Earth Obs. Geoinformation, 2022

Characterizing the calibration domain of remote sensing models using convex hulls.

Jean-Pierre Renaud, Ankit Sagar, Pierre Barbillon, Olivier Bouriaud, Christine Deleuze, Cédric Véga

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

A new small area estimation algorithm to balance between statistical precision and scale.

Cédric Véga, Jean-Pierre Renaud, Ankit Sagar, Olivier Bouriaud

Int. J. Appl. Earth Obs. Geoinformation, 2021

2019

Increasing Precision for French Forest Inventory Estimates using the k-NN Technique with Optical and Photogrammetric Data and Model-Assisted Estimators.

Dinesh Babu Irulappa-Pillai-Vijayakumar, Jean-Pierre Renaud, François Morneau, Ronald E. McRoberts, Cédric Véga

Remote. Sens., 2019

2018

Surface reconstruction of incomplete datasets: A novel Poisson surface approach based on CSRBF.

Jules Morel, Alexandra Bac, Cédric Véga

Comput. Graph., 2018

2017

Terrain Model Reconstruction from Terrestrial LiDAR Data Using Radial Basis Functions.

Jules Morel, Alexandra Bac, Cédric Véga

IEEE Computer Graphics and Applications, 2017

2015

Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar.

Cédric Véga, Udayalakshmi Vepakomma, Jules Morel, Jean-Luc Bader, Gopalakrishnan Rajashekar, Chandra Shekhar Jha, Jérôme Feret, Christophe Proisy, Raphaël Pélissier, Vinay Kumar Dadhwal

Remote. Sens., 2015

2014

PTrees: A point-based approach to forest tree extraction from lidar data.

Cédric Véga, Ahmed Hamrouni, S. El Mokhtari, Jules Morel, Jerome Bock, Jean-Pierre Renaud, Marc Bouvier, Sylvie Durrieu

Int. J. Appl. Earth Obs. Geoinformation, 2014

2013

Stem Volume and Above-Ground Biomass Estimation of Individual Pine Trees From LiDAR Data: Contribution of Full-Waveform Signals.

Tristan Allouis, Sylvie Durrieu, Cédric Véga, Pierre Couteron

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

2012

A sequential iterative dual-filter for Lidar terrain modeling optimized for complex forested environments.

Cédric Véga, Sylvie Durrieu, Jules Morel, Tristan Allouis

Comput. Geosci., 2012

2011

Multi-level filtering segmentation to measure individual tree parameters based on Lidar data: Application to a mountainous forest with heterogeneous stands.

Cédric Véga, Sylvie Durrieu

Int. J. Appl. Earth Obs. Geoinformation, 2011

Exploiting fullwaveform lidar signals to estimate timber volume and above-ground biomass of individual trees.

Tristan Allouis, Sylvie Durrieu, Cédric Véga, Pierre Couteron

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011