Digital Processing of Remote Sensing Data
- Lena Halounová (guarantor)
- Department of Geomatics
The course is focused on classical and new methods of image processing. In addition to the classical remote sensing procedures in terms of digital image analysis and classification (controlled and uncontrolled classification, symptoms and diminishing the size of the data set, classification classification success), new textural, hyperspectral and radar image processing procedures are taken into account. An important part is the interconnection of teaching with GIS, photogrammetry and remote sensing, also the methods of filtration with regard to DMT, rectification and orthogonalization of VHR satellite data as well as the search for partial primitives about image associated with programming are innovated.
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
 Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision. 1999. PWS Publishing, 2nd edition.
 Richards, John A. Remote Sensing Digital Image Analysis, 5th ed. 2013, XIX, 494 pp.
 Soergel, Uwe (Ed.).Series: Radar Remote Sensing of Urban Areas, Vol. 15, 2010
 Canty, Morton J.: Image Analysis, classification and change detection in remote sensing. 2007. Taylor & Francis, ISBN 0-8493-7251-8.
 Castleman, K. R.: Digital Image Processing. Pearson, 1995. ISBN-13: 978-0132114677
 Manual of eCognition trial Software, Trimble, http://www.ecognition.com/free-trial.
 Manual of PCI software. PCI Enterprises, 50 West Wilmot Street, Unit 200E, Richmond Hill, Ontario, Canada, 2017.
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: