Terminated in academic year 2009/2010

Digital Processing of Remotely Sensed Data

Type of study	Follow-up Master
Language of instruction	Czech
Code	548-0024/04
Abbreviation	DZDPZ
Course title	Digital Processing of Remotely Sensed Data
Credits	5
Coordinating department	Department of Geoinformatics
Course coordinator	Ing. Tomáš Peňáz, Ph.D.

Subject syllabus

Digital image data types and multivariate image statistics. Digital image
formats, conversions. Image preprocessing – radiometric and geometric correction
of remote sensed data. Digital image data geometric transformation. Image
enhancement – radiometric, spatial and spectral enhancement of remote sensed
data. Image classification – supervised and unsupervised classification. Digital
methods of change detection. Hyperspectral data processing and classification.
Radar image data processing.

Literature

Avery, T.E.; Berlin, G.L.: Fundamentals of Remote Sensing and Airphoto Interpretation. Pearson Prentice Hall, 1992.
Eastman, J. R.: IDRISI Selva Tutorial (Part 4 a Part 5), Manual Version 17.01, Clark University, 2012.
Jensen, J.R.: Introductory Digital Image Processing: A Remote Sensing Perspective. Pearson Prentice Hall, 2005,
Lillesand, T.; Kiefer, R.: Remote sensing and image interpretation. John Wiley & Sons, 1994.
Smith, R. B.: Analyzing hyperspectral data. Microimages, Inc., 2013, on-line https://www.microimages.com/documentation/Tutorials/hypanly.pdf
Warner, T.A.; Campagna, D.J.: Remote Sensing with IDRISI. A Beginner's Guide. Geocarto International Centre, 2013.

Advised literature

Landgrebe, D.: On Information Extraction Principles for Hyperspectral Data: A White Paper. School of Electrical & Computer Engineering, Purdue University, West Lafayette, IN 47907-1285. On-line https://engineering.purdue.edu/~landgreb/whitepaper.pdf
Schott, J.R.: Remote Sensing. The Image Chain Approach. Oxford University, 1997.

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