29 citations · 29 across the 3 of their papers we have counts for
4 papers
DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring
Jiapan Wang, Daan Hulskemper, Mathilde Letard +2
4D point clouds acquired by permanent laser scanning (PLS) enable accurate high-frequency monitoring of surface change in dynamic topographic environments. However, existing method…
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting
Brandon Victor, Mathilde Letard, Peter Naylor +4
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather…
3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data
Mathilde Letard, Dimitri Lague, Arthur Le Guennec +5
Three-dimensional data have become increasingly present in earth observation over the last decades. However, many 3D surveys are still underexploited due to the lack of accessible…
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
Saad Ahmed Jamal
Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances an…