Course detail

3D data collection and processing

FAST-NEA036Acad. year: 2020/2021

1. Introduction, fundamentals of 3D graphics, modeling of solid objects.
Modern methods of data acquisition (classical terrestrial methods, GNSS, laser scanning). Basic information on laser scanner device.
Problems of big data processing.
Python basics (program concept, variables, cycles, recursions).
Python Geoprocessing (Space Operations Library). Use in ArcGIS and QGIS.
Design of Python Procedures - Standalone Work.
Working on the individual project.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. Dalibor Bartoněk, CSc.

Department

Institute of Geodesy (GED)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Fundamentals of Programming, Interactive Graphic Systems, Computer Graphics.

















Navrhněte úpravu






















































































Fundamentals of Programming, Interactive Graphic Systems, Computer Graphics.



Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

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

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme NPC-GK Master's 1 year of study, summer semester, compulsory

Type of course unit

 

Exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Dalibor Bartoněk, CSc.

Syllabus

1. Surveying and calculation of coordinates of control and check points, data collection planning. 2. Photogrammetric imagery capturing of the object and camera calibration. 3. Image orientation and creation of 3D point cloud and mesh model. 4. Analysis of accuracy, assessment of methods and factors. 5. Laser scanning, acquisition of laser scans of the object 6. Laser scanning, the connection of laser scans into a point cloud, RGB coloring, color correction, point cloud georeferencing, export 7. Connection of laser and photogrammetric point cloud, decimation, point cloud trimming 8. Mesh model creation, mesh model network optimization, model retopology 9. Differential analysis of individual mesh models, assessment of the model quality 10. Publication of 3D model in various environments, a summary of procedures and quality control of the resulting model, delivery of the results