Course detail

Photogrammetry and Laser Scanning

FAST-BEA019Acad. year: 2024/2025

  • Photogrammetry - history, types of cameras, images, principles of acquisition and imaging, optics, lenses, depth of field, camera formats, and imaging parameters.
  • Principle of 3D reconstruction, central projection, extrinsic and intrinsic parameters, camera matrix, the principle of stereo vision, and stereo evaluation.
  • Coordinate systems in photogrammetry, 2D and 3D transformations, homogeneous coordinates, homography, and solution methods (adjustment).
  • Close-range photogrammetry, cameras, imaging method, processing methods, accuracy, and calibration.
  • Acquisition of aerial photographs, types of cameras, flight planning, digitization of analog images, motion blur, and image resolution.
  • Direct sensor orientation, physical nature, contribution to photogrammetry and aerial scanning, navigation coordinate transformation between sensor coordinates systems, body coordinate system, and navigation (world) coordinate system.
  • Image orientation, the principle of aerial triangulation, bundle block adjustment, the accuracy of image orientation, additional parameters, GNSS, and IMU in aerial triangulation.
  • Photogrammetric mapping. Accuracy of stereo evaluation. A digital orthophoto, digital analysis, and processing of images, digital image correlation, search for interesting (key) points, and analysis of correspondences.
  • Automation of photogrammetric tasks - image correlation, interest operators, Structure from Motion, dense matching - principle, use, meaning.
  • Ground and aerial scanning - principles, accuracy, applications.
  • Aerial scanning - principles, accuracy, applications.
  • Mobile mapping, UAV: ​​principle, accuracy, application.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

Ing. Petr Kalvoda, Ph.D.

Department

Institute of Geodesy (GED)

Entry knowledge

Basics of coordinate systems and transformations, least squares adjustment.

Rules for evaluation and completion of the course

Conditions for successful termination of course are:

  • completion of exercises including mandatory attendance, correct solution of all submitted tasks, passing tests for the specified minimum number of points, and obtaining credit from the course,
  • successfully passing the written and oral parts of the exam (after obtaining the credit).

The definition of controlled teaching and the method of its implementation are determined by the annually updated decree of the subject guarantor.

Aims

  • Gaining theoretical knowledge of current methods and principles of digital photogrammetry and laser scanning.
  • The ability to practically apply selected methods of digital photogrammetry and laser scanning.

The student will acquire the objectives of the course Photogrammetry and laser scanning and will be able to apply the selected methods.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Bentley Systems. Reality Modeling: Drone Capture Guide [online]. 2018. [cit. 2020-08-06]. (EN)
KALVODA, Petr, Jakub NOSEK a Petra KALVODOVA, 2021. Influence of Control Points Configuration on the Mobile Laser Scanning Accuracy. IOP Conference Series: Earth and Environmental Science [online]. 906(1) [cit. 2022-10-27]. ISSN 1755-1307. Dostupné z: doi:10.1088/1755-1315/906/1/012091 (EN)
Luhmann, Thomas, Robson, Stuart, Kyle, Stephen and Boehm, Jan. "Preface". Close-Range Photogrammetry and 3D Imaging, Berlin, Boston: De Gruyter, 2019, pp. V-VI. https://doi.org/10.1515/9783110607253-201 (EN)
Bentley Systems. ContextCapture: User Guide. ContextCapture help [online]. [cit. 2020-08-06]. Dostupné z: https://docs.bentley.com/LiveContent/web/ContextCapture%20Help-v9/en/GUID-1D6739CD-B03D-4AFE-B6FA-6AF73D5476E1.html (EN)
Bentley Systems. ContextCapture: Guide for photo acquisition [online]. 2017 [cit. 2020-08-06]. Dostupné z: https://communities.bentley.com/products/3d_imaging_and_point_cloud_software/m/mediagallery/271352 (EN)
User manuals: Agisoft Metashape [online]. [cit. 2020-08-06]. Dostupné z: https://www.agisoft.com/downloads/user-manuals/ (EN)
HANZL, V. a K. SUKUP, 2002. Fotogrammetrie I. Brno: CERM, 94 s. ISBN 80-214-2049-9. (CS)
Hartley, R., & Zisserman, A. (2004). Multiple View Geometry in Computer Vision (2nd ed.). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511811685 (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BPC-GK Bachelor's 3 year of study, winter semester, compulsory

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Ing. Petr Kalvoda, Ph.D.

Syllabus

  1. Photogrammetry - history, types of cameras, images, principles of acquisition and imaging, optics, lenses, depth of field, camera formats, and imaging parameters.
  2. Principle of 3D reconstruction, central projection, extrinsic and intrinsic parameters, camera matrix, the principle of stereo vision, and stereo evaluation.
  3. Coordinate systems in photogrammetry, 2D and 3D transformations, homogeneous coordinates, homography, and solution methods (adjustment).
  4. Close-range photogrammetry, cameras, imaging method, processing methods, accuracy, and calibration.
  5. Acquisition of aerial photographs, types of cameras, flight planning, digitization of analog images, motion blur, and image resolution.
  6. Direct sensor orientation, physical nature, contribution to photogrammetry and aerial scanning, navigation coordinate transformation between sensor coordinates systems, body coordinate system, and navigation (world) coordinate system.
  7. Image orientation, the principle of aerial triangulation, bundle block adjustment, the accuracy of image orientation, additional parameters, GNSS, and IMU in aerial triangulation.
  8. Photogrammetric mapping. Accuracy of stereo evaluation.
  9. A digital orthophoto, digital analysis, and processing of images, digital image correlation, search for interesting (key) points, and analysis of correspondences.
  10. Automation of photogrammetric tasks - image correlation, interest operators, Structure from Motion, dense matching - principle, use, meaning.
  11. Ground and aerial scanning - principles, accuracy, applications.
  12. Aerial scanning - principles, accuracy, applications.
  13. Mobile mapping, UAV: ​​principle, accuracy, application.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Miroslava Kubíčková

Syllabus

  • Aerial triangulation – block forming, data import, and measurement of tie points and control points.
  • Aerial triangulation – block adjustment, gross error removal, and accuracy analysis.
  • Stereovectorization, map creation.
  • Creating a digital elevation model.
  • Orthophoto, orthorectification, orthomosaic creation.
  • Creating a textured 3D model using close photogrammetry – dense matching, Structure from Motion, and laser scanning. Accuracy testing. Publishing the model on the web.