Digital Image Processing

General data

Course ID:	1900-3-CPO-KT
Erasmus code / ISCED:	07.9 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (unknown)
Course title:	Digital Image Processing
Name in Polish:	Cyfrowe przetwarzanie obrazów
Organizational unit:	Faculty of Geography and Regional Studies
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	Polish
Main fields of studies for MISMaP:	geography
Type of course:	obligatory courses
Prerequisites (description):	Students should to possess basic knowledge of PC computer and about using Windows operation system. In order to correct understanding of presented issues students have to be familiarize with basic aerial and satellite remote sensing and should to possess practical knowledge of visual interpretation.
Mode:	Classroom
Short description:	Teaching of rules of digital image processing, practice and theory
Full description:	Giving knowledge and practical skills of basic rules of digital image processing of satellite images to students is main goal of this subject. Classes are conducted like a lecture simultaneously with practical exercises. Classes are conducted using ENVI 5.0 software. Scope of topics: - introduction into ENVI software - formats of satellite data - panchromatic and multispectral images, colour composites - geometric, atmospheric and topographic correction of raster data - algebra of raster data - spatial filtering of images - images mosaicking - classification - thermal images analysis Student's effort: lectures + exercises 45 h self learning 35 h preparation for exam 20 h Sum 100 h
Bibliography:	Books: 1. Jensen J.R., 1996. Introductory digital image precessing – a remote sensing perspective. 2ed ed. Prentice Hall. 2. Lillesand M.T., Kiefer R.W., Chipman J.W., 2004. Remote sensing and image interpretation, 5th edition. Wiley. 3. Adamczyk J., Będkowski K., 2005. Metody cyfrowe w teledetekcji. Wyd. SGGW, Warszawa. 4. ERDAS Field Guide, przewodnik geoinformatyczny, 1998. GEOSYSTEMS Polska, Warszawa. Journals: 1. Teledetekcja Środowiska http://www.telegeo.wgsr.uw.edu.pl/Teledetekcja_Srodowiska/czasopismo_pl.html 2. Roczniki Geomatyki http://www.ptip.org.pl/ 3. Prace Instytutu Geodezji i Kartografii 4. Problemy Geoinformacji 5. Archiwum Fotogrametrii, Kartografii I Teledetekcji http://www.sgp.geodezja.org.pl/ptfit/ 6. International Journal of Remote Sensing 7. EARSeL eProceedings http://www.eproceedings.org/
Learning outcomes:	Acquiring of practical and theoretical knowledge about basic rules of digital processing of satellite images.
Assessment methods and assessment criteria:	Evaluation of the course is based on the exercises that the student performs during the classes and the exam (oral and practical).
Practical placement:	-

This course is not currently offered.

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Copyright by University of Warsaw.