Course Details

Photogrammetry and laser scaning

DEB064 course is part of 4 study plans

Ph.D. full-t. program DPC-GK compulsory-elective Winter Semester 2nd year 8 credits

Ph.D. combi. program DKC-GK compulsory-elective Winter Semester 2nd year 8 credits

Ph.D. full-t. program DPA-GK compulsory-elective Winter Semester 2nd year 8 credits

Ph.D. combi. program DKA-GK compulsory-elective Winter Semester 2nd year 8 credits

Aerial measurement cameras, cameras for unmanned vehicles, calibration of sensing systems. Aerial scanners, multispectral, batysphere, photon scanners. Ground scanners, scanning total stations. Calibration of scanning systems. Advanced methods for processing photogrammetric and laser data.Interest operators, correlation algorithms.

Course Guarantor

prof. Ing. Viliam Vatrt, DrSc.


Institute of Geodesy

Learning outcomes

The aim of the course is to acquire complex knowledges about technologies for spatial data acquisition. These are mainly photogrammetric methods with the use of metric cameras as well as non-metric cameras in close-range photogrammetry and unmanned vehicles. Furthermore, laser scanning (terrestrial and aiborne), mobile mapping and special technologies such as SLAM.


Very good knowledge of the subject "Photogrammetry and Laser Scanning" from the 5th semester of bachelor's studies at FAST BUT in Brno.

Planned educational activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Forms and criteria of assessment

The subject is completed by examining.

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

Vymezení kontrolované výuky a způsob jejího provádění stanoví každoročně aktualizovaná vyhláška garanta předmětu.


3 hours/week, 13 weeks, elective

Syllabus of lectures

Aerial metric cameras, development trends in design, IMU development.
Field calibration of metric and non-metric systems.
Interest operators, correlation algorithms.
Generate a point cloud from a frames. Filter algorithms to increase point cloud quality.
Aerial scanning systems.
terrestrial scanning systems.
Current state of development of unmanned aerial vehicles.
Advanced technology for point cloud processing.