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Profil

Hajji Rafika

Département de géographie > Geospatial Data Science and City Infor. Modelling (GeoScITY)

See author's contact details
Main Referenced Co-authors
Billen, Roland  (14)
Ballouch, Zouhair  (8)
Jeddoub, Imane  (8)
Kharroubi, Abderrazzaq  (8)
Yarroudh, Anass  (5)
Main Referenced Keywords
CityJSON (7); Semantic segmentation (5); 3D change detection (3); 3D city model (3); deep learning (3);
Main Referenced Unit & Research Centers
SPHERES - ULiège (5)
GeoScITY, UR SPHERES (1)
Université de Liège - ULiège > Département de géographie > Geospatial Data Science and City Information Modelling (GeoScITY) (1)
Main Referenced Disciplines
Computer science (12)
Earth sciences & physical geography (9)
Engineering, computing & technology: Multidisciplinary, general & others (5)
Architecture (4)

Publications (total 17)

The most downloaded
2596 downloads
Hajji, R. (2013). Vers une méthode de conception de SIG 3D collaboratif [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/156447 https://hdl.handle.net/2268/156447

The most cited

52 citations (Scopus®)

Jeddoub, I., Nys, G.-A., Hajji, R., & Billen, R. (05 August 2023). Digital Twins for cities: Analyzing the gap between concepts and current implementations with a specific focus on data integration. International Journal of Applied Earth Observation and Geoinformation, 122, 103440. doi:10.1016/j.jag.2023.103440 https://hdl.handle.net/2268/306145

Kharroubi, A., Remondino, F., Ballouch, Z., Hajji, R., & Billen, R. (06 April 2025). Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds. Remote Sensing, 17 (7), 1311. doi:10.3390/rs17071311
Peer Reviewed verified by ORBi

Rafamatanantsoa, B. P., Jeddoub, I., Yarroudh, A., Hajji, R., & Billen, R. (14 December 2024). City2Twin: an open urban digital twin from data integration to visualization and analysis. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W8-2024, 387-394. doi:10.5194/isprs-archives-xlviii-2-w8-2024-387-2024
Peer Reviewed verified by ORBi

Doi, H., Yarroudh, A., Jeddoub, I., Hajji, R., & Billen, R. (14 December 2024). Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W8-2024, 125-132. doi:10.5194/isprs-archives-xlviii-2-w8-2024-125-2024
Peer Reviewed verified by ORBi

Doi, H., Yarroudh, A., Jeddoub, I., Hajji, R., & Billen, R. (12 December 2024). [Presentation] Automatic Detection and 3D Modeling of City Furniture Objects using LiDAR and Imagery Mobile Mapping Data [Paper presentation]. Low-Cost 3D workshop, Brescia, Italy.

Jeddoub, I., Nys, G.-A., Hajji, R., & Billen, R. (2024). Data integration across urban digital twin lifecycle: a comprehensive review of current initiatives. Annals of GIS, 1-20. doi:10.1080/19475683.2024.2416135
Peer Reviewed verified by ORBi

Ballouch, Z., Jeddoub, I., Hajji, R., Kasprzyk, J.-P., & Billen, R. (31 May 2024). Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4/W4-2024, 13-20. doi:10.5194/isprs-annals-x-4-w4-2024-13-2024
Peer Reviewed verified by ORBi

Kharroubi, A., Ballouch, Z., Hajji, R., Yarroudh, A., & Billen, R. (09 April 2024). Multi-Context Point Cloud Dataset and Machine Learning for Railway Semantic Segmentation. Infrastructures, 9 (4), 71. doi:10.3390/infrastructures9040071
Peer Reviewed verified by ORBi

Tamort, A., Kharroubi, A., Hajji, R., & Billen, R. (08 March 2024). 3D CHANGE DETECTION FOR SEMI-AUTOMATIC UPDATE OF BUILDINGS IN 3D CITY MODELS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-4/W9-2024, 349-355. doi:10.5194/isprs-archives-xlviii-4-w9-2024-349-2024
Peer Reviewed verified by ORBi

Jeddoub, I.* , Ballouch, Z.* , Hajji, R., & Billen, R. (2024). Enriched Semantic 3D Point Clouds: An Alternative to 3D City Models for Digital Twin for Cities? In T. H. Kolbe, A. Donaubauer, ... C. Beil (Eds.), Recent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-43699-4_26
Peer reviewed
* These authors have contributed equally to this work.

Kharroubi, A., Ballouch, Z., Jeddoub, I., Hajji, R., & Billen, R. (2024). Automated detection and structuration of building and vegetation changes from LiDAR point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W8-2024, 227-233. doi:10.5194/isprs-archives-XLVIII-2-W8-2024-227-2024
Peer Reviewed verified by ORBi

Ballouch, Z., Hajji, R., Kharroubi, A., Poux, F., & Billen, R. (2024). Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds. Remote Sensing, 16 (2), 329. doi:10.3390/rs16020329
Peer Reviewed verified by ORBi

Yarroudh, A., Nys, G.-A., & Hajji, R. (13 December 2023). 3D MODELING OF ROAD INFRASTRUCTURES ACCORDING TO CITYGML 3.0 AND ITS CITYJSON ENCODING. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023, 63-70. doi:10.5194/isprs-archives-xlviii-1-w2-2023-63-2023
Peer Reviewed verified by ORBi

Jeddoub, I., Nys, G.-A., Hajji, R., & Billen, R. (05 August 2023). Digital Twins for cities: Analyzing the gap between concepts and current implementations with a specific focus on data integration. International Journal of Applied Earth Observation and Geoinformation, 122, 103440. doi:10.1016/j.jag.2023.103440
Peer Reviewed verified by ORBi

El Barhoumi, N., Hajji, R., Bouali, Z., Ben Brahim, Y., & Kharroubi, A. (20 October 2022). Assessment of 3D Models Placement Methods in Augmented Reality. Applied Sciences, 12 (20), 10620. doi:10.3390/app122010620
Peer Reviewed verified by ORBi

Kharroubi, A., Poux, F., Ballouch, Z., Hajji, R., & Billen, R. (17 October 2022). Three Dimensional Change Detection Using Point Clouds: A Review. Geomatics, 2 (4), 457-486. doi:10.3390/geomatics2040025
Peer reviewed

Ballouch, Z., Hajji, R., Poux, F., Kharroubi, A., & Billen, R. (16 July 2022). A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning. Remote Sensing, 14 (14), 3415. doi:10.3390/rs14143415
Peer Reviewed verified by ORBi

Hajji, R. (2013). Vers une méthode de conception de SIG 3D collaboratif [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/156447

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