Course Details

Photogrammetry and laser scaning

Academic Year 2024/25

DEB064 course is part of 4 study plans

DKA-GK Winter Semester 2nd year

DPA-GK Winter Semester 2nd year

DKC-GK Winter Semester 2nd year

DPC-GK Winter Semester 2nd year

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.

Credits

8 credits

Language of instruction

Czech

Semester

winter

Course Guarantor

Institute

Forms and criteria of assessment

examination

Entry Knowledge

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

Aims

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.


Students acquire additional knowledge of the basic subject of photogrammetry. For practice, the knowledge of the increasingly widely used method of laser scanning will be especially valuable.

Basic Literature

Greve,C.(ed.): DIGITAL PHOTOGRAMMETRY, An Addendum to the Manual of Photogr. American Society for Photogrammetry & Remote Sensing, 1996. (en)

Recommended Reading

Greve,C.(ed.): DIGITAL PHOTOGRAMMETRY, An Addendum to the Manual of Photogr. American Society for Photogrammetry & Remote Sensing, 1996. (en)
Kraus, K.: Photogrammetry II. Dümmler Bonn, 1997. (en)

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 3 hours/week, elective

Syllabus

  • 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.