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

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.

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

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).

• 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.

• 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.

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

Hartley, R., & Zisserman, A. (2004). Multiple View Geometry in Computer Vision (2nd ed.). Cambridge: Cambridge University Press. doi:10.1017/CBO9780511811685

User manuals: Agisoft Metashape [online]. [cit. 2020-08-06]. Dostupné z: https://www.agisoft.com/downloads/user-manuals/

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

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

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

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

• Programme NPC-GK Master's, 2. year of study, summer semester, compulsory
  

• 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.