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 |
Yarroudh, A., Kharroubi, A., Jeddoub, I., Ballouch, Z., & Billen, R. (14 December 2024). Railway reconstruction from 3D point cloud using Deep Learning and Parametric Modeling. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W8-2024, 477-482. doi:10.5194/isprs-archives-xlviii-2-w8-2024-477-2024 |
Yarroudh, A., Kharroubi, A., Jeddoub, I., & Billen, R. (14 December 2024). Automatic upgrade of 3D building models to LoD3 using 3D Point Clouds and Grounding DINO. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W8-2024, 471-476. doi:10.5194/isprs-archives-xlviii-2-w8-2024-471-2024 |
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  Dataset: https://github.com/akharroubi/Rail3D |
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 |
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 |
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 |
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 |
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 |
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 |
Hajji, R., Kharroubi, A., Ben Brahim, Y., Bahhane, Z., & El Ghazouani, A. (06 October 2021). INTEGRATION OF BIM AND MOBILE AUGMENTED REALITY IN THE AECO DOMAIN. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI (W3), 131–138. doi:10.5194/isprs-archives-XLVI-4-W3-2021-131-2022 |
Nys, G.-A., Kharroubi, A., Poux, F., & Billen, R. (30 June 2021). An extension of CityJSON to support point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-B4-2021, 301-306. doi:10.5194/isprs-archives-XLIII-B4-2021-301-2021 |
Kharroubi, A., Van Wersch, L., Billen, R., & Poux, F. (17 June 2021). TESSERAE3D: A benchmark for tesserae semantic segmentation in 3D point clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2021, 121–128. doi:10.5194/isprs-annals-V-2-2021-121-2021 |
Kharroubi, A., Billen, R., & Poux, F. (12 August 2020). MARKER-LESS MOBILE AUGMENTED REALITY APPLICATION FOR MASSIVE 3D POINT CLOUDS AND SEMANTICS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII (B2), 255–261. doi:10.5194/isprs-archives-XLIII-B2-2020-255-2020 |
Kharroubi, A., Hajji, R., Billen, R., & Poux, F. (29 November 2019). CLASSIFICATION AND INTEGRATION OF MASSIVE 3D POINTS CLOUDS IN A VIRTUAL REALITY (VR) ENVIRONMENT. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2 (W17), 165-171. doi:10.5194/isprs-archives-XLII-2-W17-165-2019 |