Mohamed Boussaha
Papers
1
Total Citations
12
H-Index
1
About
Mohamed Boussaha is a leading researcher in photogrammetry, 3D reconstruction, and geospatial data fusion, with a focus on large-scale urban modeling. His major contributions center on developing fully automatic frameworks that integrate mobile mapping images with LiDAR scans to produce high-quality, textured 3D meshes of urban environments. His most-cited work, "Large Scale Textured Mesh Reconstruction from Mobile Mapping Images and LiDAR Scans" (2018), with 12 citations, addresses the critical challenge of combining geometric and photometric information for realistic city-scale models—a problem at the forefront of both photogrammetry and robotics. This research has significant implications for autonomous navigation, urban planning, and digital twin creation. Boussaha’s work is notable for its emphasis on automation and scalability, enabling efficient processing of complex, real-world datasets. His achievements reflect a deep commitment to advancing 3D reconstruction techniques, bridging the gap between raw sensor data and actionable, visually rich representations. For students and researchers, his contributions offer a compelling example of how fusion of multi-modal data can solve longstanding challenges in spatial informatics.
Research Focus
Key Achievements
Top Papers
- 1