Course detail

Photogrammetry and Remote Sensing

FAST-NEA046Acad. year: 2022/2023

Digital photogrammetry, factors influencing image coordinates, the geometric accuracy of the reconstruction, a digital orthophoto, digital image processing and analysis, digital image correlation, interest points (key points) detection, and correspondence analysis.

Principle of remote sensing, electromagnetic radiation, its division, radiometric quantities and their measurement, propagation of electromagnetic radiation through the atmosphere, and current technical means for image data acquisition, interpretation, and classification.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

Ing. Petr Kalvoda, Ph.D.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

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

Prerequisites

Basic knowledge of photogrammetric procedures and tasks, methods of taking digital images, image orientation, determining the elements of inner and exterior orientation, and digital image processing.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching takes place in the form of lectures, practical exercises, and self-study. Attendance at lectures is recommended, at exercises are compulsory.

Assesment methods and criteria linked to learning outcomes

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).

Course curriculum

  • Repetition: exterior orientation parameters and interior orientation parameters.

  • Factors influencing image coordinates, the geometric accuracy of reconstruction.

  • A digital orthophoto, digital image processing, and analysis.

  • Digital image correlation, interest points (key points) detection, correspondence analysis.

  • Introduction to remote sensing, definition, history, meaning.

  • Physical basics of remote sensing.

  • Influence of atmosphere on remote sensing measurements.

  • Spectral properties of objects, vegetation indices.

  • Image sensors and their usage in remote sensing.

  • Image processing of remote sensing data.

Work placements

Not applicable.

Aims

  • Gaining theoretical knowledge of current methods and principles of digital photogrammetry with emphasis on process automation,
  • the ability of practical application of selected methods of digital photogrammetry,
  • mastering the theoretical basics of remote sensing, the physical nature of methods of collecting information about the Earth's surface, and acquaintance with current technical means of image data collection and methods of their interpretation for many applications.

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

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

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

HALOUNOVÁ, Lena, 2005. Dálkový průzkum Země. Praha: Vydavatelství ČVUT. ISBN 80-01-03124-1. (CS)
Hanzl, V., Plánka, L. 2007. Fotogrammetrie a dálkový průzkum. Brno: VUT v Brně, studijní podpora (4 moduly) (CS)
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)
Bentley Systems. Reality Modeling: Drone Capture Guide [online]. 2018. [cit. 2020-08-06]. Dostupné z: https://prod-bentleycdn.azureedge.net/-/media/files/documents/miscellaneous/drone_capture_guide_en.pdf?la=cs-cz&modified=20181120192459 (EN)
User manuals: Agisoft Metashape [online]. [cit. 2020-08-06]. Dostupné z: https://www.agisoft.com/downloads/user-manuals/ (EN)
ESRI. ArcMap: ArcGis Help - Spatial Analyst extension [online] https://desktop.arcgis.com/en/arcmap/10.3/guide-books/extensions/spatial-analyst/what-is-the-spatial-analyst-extension.htm (EN)
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 NPC-GK Master's 2 year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Petr Kalvoda, Ph.D.

Syllabus

  • Repetition: exterior orientation parameters and interior orientation parameters.
  • Factors influencing image coordinates, the geometric accuracy of reconstruction.
  • A digital orthophoto, digital image processing, and analysis.
  • Digital image correlation, interest points (key points) detection, correspondence analysis.
  • Introduction to remote sensing, definition, history, meaning.
  • Physical basics of remote sensing.
  • Influence of atmosphere on remote sensing measurements.
  • Spectral properties of objects, vegetation indices.
  • Image sensors and their usage in remote sensing.
  • Image processing of remote sensing data.

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Petr Kalvoda, Ph.D.

Syllabus

  • Surveying and calculating coordinates of control points and check points, planning of image capturing.
  • Camera calibration, and image capturing.
  • Image orientation and creation of 3D point cloud and mesh model.
  • Accuracy testing, publication, and presentation of results, finalization.
  • Digital image processing.
  • Essential work with remote sensing data.
    Unsupervised classification, and supervised classification.