Course detail

Photogrammetry and laser scaning

FAST-DEB064Acad. year: 2022/2023

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.

Language of instruction

Czech

Number of ECTS credits

8

Mode of study

Not applicable.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

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.

Prerequisites

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

Co-requisites

The advantage for the study is a personal interest in the subject in a broader context, e.g. the use of drones in acquiring information about the terrain, the construction and principle of various modern fortogrammetry systems.

Planned learning activities and teaching methods

The lectures will be regularly included in addition to the lectures and follow-up exercises, there are also news from the subject, news and development perspectives.The same in the exercises with an emphasis on practical applications.

Assesment methods and criteria linked to learning outcomes

Verification of knowledge and skills takes place in exercises. Students are motivated to continuous study even during the lessons. The teacher repeatedly emphasizes essential profile information. The exam is carried out in the form of a test as well as in writing. Evaluation is carried out according to valid principles with a set scale of evaluation.

Course curriculum

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.

Work placements

Work placements are currently not foreseen within this subject.

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.

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Survey of the possibilities of applying knowledge gained in teaching and exercises in applications in companies, institutions, schools, research and development workplaces.

Prerequisites and corequisites

Not applicable.

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)

Classification of course in study plans

  • Programme DPC-GK Doctoral 2 year of study, winter semester, compulsory-optional
  • Programme DPC-GK Doctoral 2 year of study, winter semester, compulsory-optional
  • Programme DPA-GK Doctoral 2 year of study, winter semester, compulsory-optional
  • Programme DKA-GK Doctoral 2 year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

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.