Remote sensing with uncrewed aerial vehicles

Title of course: Remote sensing with uncrewed aerial vehicles

Code: TTGMG7047_EN

ECTS Credit points: 3

 

Type of teaching, contact hours

- lecture: 1 hours/week

- practice: 2 hours/week

- laboratory: -

Evaluation: practical grade

Workload (estimated), divided into contact hours:

- lecture: 14 hours

- practice: 28 hours

- laboratory: -

- home assignment: -

- preparation for the exam: 16 hours

Total: 30 hours

Year, semester: 1st year, 2 nd semester

Its prerequisite(s): -

Further courses built on it: -

 

Topics of course

The aim of the course is to give students an insight into the theoretical and practical basics of unmanned aircraft-based aerial photography. During the course, students will learn the theory of unmanned aerial photography, and in the exercises they will gain insight into the specific features of aerial photography, as well as the processing of aerial photographs. In the theoretical part of the course, the following topics will be covered: development of unmanned aerial vehicles (UAVs); the main types of UAV systems; the technical background of UAV applications; the main fields of UAV applications; a comparison of professional and consumer sensors from a photogrammetric point of view; photogrammetry with UAV images; digital photogrammetric processing procedures; additional systems in UAV photogrammetry (GPS, flight tracking, etc.); content and quality issues of UAV-based products; legal background for the use of UAVs. The practical part of the course will cover the following topics: main characteristics of unmanned aerial vehicles (UAV); technical conditions for the use of unmanned aerial vehicles; different types of UAV imaging systems (visible range); different UAV imaging systems (multispectral and thermal sensors); flight and project planning; orthophoto generation from UAV images; surface modelling from UAV images; modelling of surface objects from unmanned aerial vehicle images; distortion handling in UAV photogrammetry; orientation in UAV photogrammetry; data classification, database cleaning.

Literature 

  • Casagrande, G. - Sik, A. - Szabó, G. (2018) Small flying drones. Springer, 161 p. 
  • Krauss, K. - Waldhausl, P. (1998) Photogrammetry. Tertia Publishing, 379 p. 
  • Toro, F. G.- Tsourdos, A. (2020) UAV or Drones for Remote Sensing Applications

Requirements:

- for a signature

Attendance at lectures is recommended, but not compulsory.

- for a grade

The course ends in a writing examination. The minimum requirement for the test respectively is 50%. Based on the score of the test, the grade for the test is given according to the following table:

 

Score  Grade
0-49 fail    (1)
50-64 pass  (2)
65-74 satisfactory    (3)
75-85 good    (4)
86-100 excellent (5)

 

If the score of any test is below 50, students can take a retake test in conformity with the EDUCATION AND EXAMINATION RULES AND REGULATIONS.

Person responsible for course: Dr. Tamás Tomor, PhD, senior research fellow

Lecturer: Dr. Gergely Szabó, PhD, Associate Professor, Dr. László Bertalan, PhD, Assistant Professor

Last update: 2024. 02. 06. 12:44