A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration
Abdel-Maksoud, H., Abdel Aziz, T., Elsharkawy, A., Morsy, O. (2025). A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration. EKB Journal Management System, 16(16), 1-1. doi: 10.1088/1755-1315/1530/1/012033
Hany Abdel-Maksoud; Tarek Abdel Aziz; Ahmed S. Elsharkawy; Osama Morsy. "A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration". EKB Journal Management System, 16, 16, 2025, 1-1. doi: 10.1088/1755-1315/1530/1/012033
Abdel-Maksoud, H., Abdel Aziz, T., Elsharkawy, A., Morsy, O. (2025). 'A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration', EKB Journal Management System, 16(16), pp. 1-1. doi: 10.1088/1755-1315/1530/1/012033
Abdel-Maksoud, H., Abdel Aziz, T., Elsharkawy, A., Morsy, O. A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration. EKB Journal Management System, 2025; 16(16): 1-1. doi: 10.1088/1755-1315/1530/1/012033

A Novel Approach for Digital Building Modeling Using LiDAR and Image Data Integration

The International Conference on Civil and Architecture Engineering
Volume 16, Issue 16, May 2025, Pages 1-1
DOI: 10.1088/1755-1315/1530/1/012033
Authors
Hany Abdel-Maksoud1; Tarek Abdel Aziz2; Ahmed S. Elsharkawy3; Osama Morsy4
1hD Student, Survey Research Institute, National Water Research Center, Giza, Egypt.
2Professor, Survey Research Institute, National Water Research Center, Giza, Egypt.
3Assistant Professor, Department of Civil Engineering, Military Technical College, Cairo, Egypt
4Professor, Department of Civil Engineering, Military Technical College, Cairo, Egypt.
Abstract
Accurate and realistic 3D building reconstruction remains a fundamental challenge
in the fields of photogrammetry and remote sensing. This study introduces an integrated
methodology that enhances building model generation by fusing airborne LiDAR and
photogrammetric data, capitalizing on the complementary strengths of both sources. The
proposed approach involves feature extraction, segmentation, and 3D model reconstruction
based on the identification of planar surfaces and boundary primitives within the fused point
cloud. Data were acquired over the Tora Cement Factory in Cairo, Egypt, using DJI Zenmuse
L1 (LiDAR) and P1 (RGB) sensors. To ensure precise georeferencing and validation, twelve
ground control points (GCPs) were measured using the Trimble R10 GNSS system. The final
3D building model derived from the fused dataset achieved a root mean square error (RMSE)
of 7.4 cm, significantly outperforming models generated from LiDAR-only data (11.2 cm) and
photogrammetric-only data (14.6 cm). These findings demonstrate the effectiveness of the
proposed fusion strategy in improving geometric accuracy and structural completeness, offering
a robust solution for high-quality 3D building reconstruction from multi-source aerial data.
Statistics
Article View: 19