Understand the geometric and physical principles of photogrammetry and laser scanning.
Design and execute 3D surveys in close-range environments.
Gain operational skills in point cloud processing and management.
Produce metrically accurate 3D models for documentation, analysis, and restoration.
Assess data accuracy and quality for different application contexts.
Prerequisiti
Basic knowledge of topography and analytical geometry. Familiarity with the fundamental concepts of photogrammetry and GIS. Skills in the use of spatial data processing software.
Metodi didattici
Theoretical lessons with presentations and practical demonstrations. Photogrammetric processing and laser scanning workshops. Field exercises with real instruments (cameras, laser scanners, UAVs). Comparative analysis of 3D datasets. Individual or group project work.
Verifica Apprendimento
Final practical project (3D surveying, processing, modeling). Technical report with description of the workflow and accuracy analysis. Oral interview on the theoretical and practical topics covered. Assessment based on: quality of surveying and modeling; methodological rigor; clarity of presentation and critical thinking skills.
Testi
Luhmann, T., Robson, S., Kyle, S., Boehm, J. (2020), Close-Range Photogrammetry and 3D Imaging, De Gruyter.
Fundamentals of digital photogrammetry and stereoscopic vision.
Image acquisition and camera calibration (terrestrial and UAV).
Interior, exterior, and absolute orientation of images.
Dense point cloud generation from imagery (Structure from Motion).
Principles and workflow of terrestrial laser scanning (TLS).
Point cloud registration, filtering, and integration.
3D modeling, meshing, texture mapping, and orthophoto generation.
Comparison between photogrammetry and laser scanning in terms of accuracy and applications.
Applications to architecture, civil engineering, cultural heritage, surveying, and monitoring.
Practical exercises using professional software tools.
Lingua Insegnamento
INGLESE
Altre informazioni
Active participation in field and laboratory exercises is recommended. Students must have a PC with software installed as specified by the instructor. Possible workshops or technical visits to relevant laboratories or research institutions.
