8 citations · 22 across the 10 of their papers we have counts for
13 papers
Deep learning enables urban change profiling through alignment of historical maps
Sidi Wu, Yizi Chen, Maurizio Gribaudi +4
Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving identity of cities. Howev…
ICDAR 2021 Competition on Historical Map Segmentation
Joseph Chazalon, Edwin Carlinet, Yizi Chen +9
This paper presents the final results of the ICDAR 2021 Competition on Historical Map Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris, France…
Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation
Yizi Chen, Edwin Carlinet, Joseph Chazalon +3
The digitization of historical maps enables the study of ancient, fragile, unique, and hardly accessible information sources. Main map features can be retrieved and tracked through…
A scala library for spatial sensitivity analysis
Juste Raimbault, Julien Perret, Romain Reuillon
The sensitivity analysis and validation of simulation models require specific approaches in the case of spatial models. We describe the spatialdata scala library providing such too…
Generating urban morphologies at large scales
Juste Raimbault, Julien Perret
At large scales, typologies of urban form and corresponding generating processes remain an open question with important implications regarding urban planning policies and sustainab…
A state of the art of urban reconstruction: street, street network, vegetation, urban feature
Remi Cura, Julien Perret, Nicolas Paparoditis
World population is raising, especially the part of people living in cities. With increased population and complex roles regarding their inhabitants and their surroundings, cities…
User assisted and automatic inverse procedural road modelling at the city scale
Remi Cura, Julien Perret, Nicolas Paparoditis
Cities are structured by roads. Having up to date and detailed maps of these is thus an important challenge for urban planing, civil engineering and transportation. Those maps are…
Interactive in-base street model edit: how common GIS software and a database can serve as a custom Graphical User Interface
Remi Cura, Julien Perret, Nicolas Paparoditis
Our modern world produces an increasing quantity of data, and especially geospatial data, with advance of sensing technologies, and growing complexity and organisation of vector da…
StreetGen : In base city scale procedural generation of streets: road network, road surface and street objects
Rémi Cura, Julien Perret, Nicolas Paparoditis
Streets are large, diverse, and used for several (and possibly conflicting) transport modalities as well as social and cultural activities. Proper planning is essential and require…
An octree cells occupancy geometric dimensionality descriptor for massive on-server point cloud visualisation and classification
Remi Cura, Julien Perret, Nicolas Paparoditis
Lidar datasets are becoming more and more common. They are appreciated for their precise 3D nature, and have a wide range of applications, such as surface reconstruction, object de…
Historical collaborative geocoding
Rémi Cura, Bertrand Dumenieu, Nathalie Abadie +3
The latest developments in digital have provided large data sets that can increasingly easily be accessed and used. These data sets often contain indirect localisation information,…
Implicit LOD using points ordering for processing and visualisation in Point Cloud Servers
Rémi Cura, Julien Perret, Nicolas Paparoditis
Lidar datasets now commonly reach Billions of points and are very dense. Using these point cloud becomes challenging, as the high number of points is intractable for most applicati…
Roads and cities of century France
Julien Perret, Maurizio Gribaudi, Marc Barthelemy
The evolution of infrastructure networks such as roads and streets are of utmost importance to understand the evolution of urban systems. However, datasets describing these spatial…