1 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Yanis Benidir, Nicolas Gonthier, Clement Mallet
Bi-temporal change detection at scale based on Very High Resolution (VHR) images is crucial for Earth monitoring. This remains poorly addressed so far: methods either require large…
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
Valerio Marsocci, Nicolas Gonthier, Anatol Garioud +2
Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing (R…
BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentation
Minh On Vu Ngoc, Yizi Chen, Nicolas Boutry +2
Capturing the global topology of an image is essential for proposing an accurate segmentation of its domain. However, most of existing segmentation methods do not preserve the init…
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds
Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet +1
We propose a new deep learning-based method for estimating the occupancy of vegetation strata from 3D point clouds captured from an aerial platform. Our model predicts rasterized o…