Article (Scientific journals)
Three Dimensional Change Detection Using Point Clouds: A Review
Kharroubi, Abderrazzaq; Poux, Florent; Ballouch, Zouhair et al.
2022In Geomatics, 2 (4), p. 457-486
Peer reviewed
 

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Keywords :
3D change detection; 3D point clouds; deep learning; machine learning; datasets
Abstract :
[en] Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant noise and occlusion. To better understand new research perspectives in this field, a deep review of recent advances in 3D change detection methods is needed. To this end, we present a comprehensive review of the state of the art of 3D change detection approaches, mainly those using 3D point clouds. We review standard methods and recent advances in the use of machine and deep learning for change detection. In addition, the paper presents a summary of 3D point cloud benchmark datasets from different sensors (aerial, mobile, and static), together with associated information. We also investigate representative evaluation metrics for this task. To finish, we present open questions and research perspectives. By reviewing the relevant papers in the field, we highlight the potential of bi- and multi-temporal point clouds for better monitoring analysis for various applications.
Research Center/Unit :
SPHERES - ULiège
Disciplines :
Earth sciences & physical geography
Computer science
Author, co-author :
Kharroubi, Abderrazzaq  ;  Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Poux, Florent  ;  Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Ballouch, Zouhair ;  Université de Liège - ULiège > Sphères
Hajji, Rafika  ;  Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Billen, Roland  ;  Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Topographie et géométrologie
Language :
English
Title :
Three Dimensional Change Detection Using Point Clouds: A Review
Alternative titles :
[fr] La Détection des changements tridimensionnels à l'aide de nuages de points : Une revue
Original title :
[en] Three Dimensional Change Detection Using Point Clouds: A Review
Publication date :
17 October 2022
Journal title :
Geomatics
eISSN :
2673-7418
Publisher :
MDPI AG
Volume :
2
Issue :
4
Pages :
457-486
Peer reviewed :
Peer reviewed
Development Goals :
11. Sustainable cities and communities
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding text :
Abderrazzaq Kharroubi is an Aspirant of the Fonds de la Recherche Scientifique FNRS.
Available on ORBi :
since 27 October 2022

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