3 citations · 15 across the 14 of their papers we have counts for
3 papers · 1 filter
Implicit neural representation for change detection
Peter Naylor, Diego Di Carlo, Arianna Traviglia +2
Identifying changes in a pair of 3D aerial LiDAR point clouds, obtained during two distinct time periods over the same geographic region presents a significant challenge due to the…
Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data
Gregory Sech, Paolo Soleni, Wouter B. Verschoof-van der Vaart +3
When applying deep learning to remote sensing data in archaeological research, a notable obstacle is the limited availability of suitable datasets for training models. The applicat…
Optimal Transport for Change Detection on LiDAR Point Clouds
Marco Fiorucci, Peter Naylor, Makoto Yamada
Unsupervised change detection between airborne LiDAR data points, taken at separate times over the same location, can be difficult due to unmatching spatial support and noise from…