548-0013/05 – Software for Remote Sensing (PVDPZ)
| Gurantor department | Department of Geoinformatics | Credits | 4 |
| Subject guarantor | prof. Ing. Jiří Horák, Dr. | Subject version guarantor | prof. Ing. Jiří Horák, Dr. |
| Study level | undergraduate or graduate | Requirement | Choice-compulsory |
| Year | 3 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2002/2003 | Year of cancellation | 2016/2017 |
| Intended for the faculties | HGF | Intended for study types | Bachelor, Follow-up Master |
Subject aims expressed by acquired skills and competences
The aim of the subject is to get acquinted students with an environment of selected SW suitable for tasks of Remote Sensing and to teach them how to realise in this environment the whole process of RS data processing from the data acquisition to harvesting and interpretation of outputs.
Teaching methods
Individual consultations
Tutorials
Summary
Digital image data. Data input and conversion. Geometric corrections, types of
deformation and its elimination. Radiometric corrections, image manipulation.
Image enhancement (histogram stretching, histogram equalisation, colour
enhancement, edge detection, principle and common components, vegetation
indexes). Controlled and uncontrolled classification. Postprocessing. Image
interpretation.
Compulsory literature:
Lillesand T., Kiefer R., Chipman J.: Remote sensing and image interpretation. John Wiley & Sons, 2004, 763 stran.
Recommended literature:
Fundamentals of Remote Sensing. Canada Centre for Remote Sensing. P.258.
http://www.nrcan.gc.ca/earth-sciences/geography-boundary/remote-sensing/fundamentals/1430
FOODY G., ATKINSON P.M.: Uncertainty in Remote Sensing and GIS. Wiley, 2002.
Additional study materials
Way of continuous check of knowledge in the course of semester
testing
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Digital image data. Data input and conversion.
Geometric corrections, different deformations and eliminations.
Radiometric corrections.
Image enhancements.
Data vizualization.
Image classification (controled, uncontroled)
Image adjustment after the classification.
Image interpretation.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.