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Mapping change using 3D point clouds
Kharroubi, Abderrazzaq
2022
 

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Keywords :
change detection, time series, point clouds, 3D, deep learning
Abstract :
[en] The presentation presents the point clouds as remote sensing data for change detection. Indeed, the earth's surface is continuously changing either rapidly or slowly depending on the event. Each of these events has a defined magnitude, velocity, and frequency which determines whether the change is short-term or long-term. By reading this presentation you will discover the following points: The importance of 3d for change detection, given that objects on the earth's surface have a large vertical component; The challenges related to the use of this type of data for this specific task; the existing methods (standard, and learning-based) And our innovative research on this topic.
Research center :
SPHERES - ULiège
Disciplines :
Computer science
Earth sciences & physical geography
Author, co-author :
Kharroubi, Abderrazzaq  ;  Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Language :
English
Title :
Mapping change using 3D point clouds
Alternative titles :
[fr] Cartographie du changement à l'aide de nuages de points 3D
Original title :
[en] Mapping change using 3D point clouds
Publication date :
03 May 2022
Number of pages :
21
Event name :
Earth Observation and Artificial Intelligence for a Safer World
Event organizer :
(Skywin, ISSeP, Spacebel and VITO) and the Belgian Royal Military Academy
Event place :
brussels, Belgium
Event date :
03-05-2022
Audience :
International
Development Goals :
15. Life on land
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Funding number :
FC 36471
Funding text :
This research was funded by the National Belgian Funds for Scientific Research FNRS-FRS, through an Aspirant FRNS grant for Abderrazzaq KHARROUBI (Oct. 2021)
Available on ORBi :
since 03 May 2022

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