79 citations
- Centre National d'Études SpatialesFR4 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR2 papers
- Littoral, Environnement, Télédétection, GéomatiqueFR2 papers
- Université de Bretagne SudFR2 papers
- BOKU UniversityAT1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
- Finnish Meteorological InstituteFI1 paper
- Indian Institute of Technology DelhiIN1 paper
- Institut d'Astrophysique SpatialeFR1 paper
- Max Planck Institute for Solar System ResearchDE1 paper
- Parc Científic de la Universitat de ValènciaES1 paper
7 papers
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
Iris de Gélis, Sudipan Saha, Muhammad Shahzad +3
Change detection from traditional \added{2D} optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud \ad…
Change detection needs change information: improving deep 3D point cloud change detection
Iris de Gélis, Thomas Corpetti, Sébastien Lefèvre
Change detection is an important task that rapidly identifies modified areas, particularly when multi-temporal data are concerned. In landscapes with a complex geometry (e.g., urba…
Gaussian Processes Retrieval of LAI from Sentinel-2 Top-of-Atmosphere Radiance Data
Jose Estevez, Jorge Vicent, Juan Pablo Rivera-Caicedo +6
Retrieval of vegetation properties from satellite and airborne optical data usually takes place after atmospheric correction, yet it is also possible to develop retrieval algorithm…
InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
You Li, Clément Le Bihan, Txomin Pourtau +1
LiDARs are usually more accurate than cameras in distance measuring. Hence, there is strong interest to apply LiDARs in autonomous driving. Different existing approaches process th…
Analysis of layering-related linear features on comet 67P/Churyumov-Gerasimenko
Birko-Katarina Ruzicka, Luca Penasa, Hermann Boehnhardt +4
We analysed layering-related linear features on the surface of comet 67P/Churyumov-Gerasimenko (67P) to determine the internal configuration of the layerings within the nucleus. We…
Close-up images of the final Philae landing site on comet 67P/Churyumov-Gerasimenko acquired by the ROLIS camera
S. E. Schröder, S. Mottola, G. Arnold +11
After coming to rest on the night side of comet 67P/Churyumov-Gerasimenko, the ROLIS camera on-board Rosetta's Philae lander acquired five images of the surface below the lander, f…