PřF:Z8114 Digital image processing - Course Information

Z8114 Remote sensing digital image processing

Extent and Intensity

1/2/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

prof. RNDr. Petr Dobrovolný, CSc. (seminar tutor)
Mgr. Eva Nováková (seminar tutor)

Guaranteed by

prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: prof. RNDr. Petr Dobrovolný, CSc.

Timetable

Tue 13:00–13:50 Z4,02028

• Timetable of Seminar Groups:

Z8114/01: Wed 7:00–8:50 Z1,01001b, E. Nováková

Prerequisites (in Czech)

Z8108 Remote sensing || PROGRAM(N-GK)

Course Enrolment Limitations

The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 21 student(s).
Current registration and enrolment status: enrolled: 0/21, only registered: 0/21

fields of study / plans the course is directly associated with

there are 6 fields of study the course is directly associated with, display

Course objectives

Hard copy images and digital images. Interpretation of hard copy imagery Principles of visual interpretation, interpretation keys Advantages and drawbags of hard copy imagery and visual interpretation Characteristics of digital imagery. Raster data format and its specific features Remotely sensed data chracter, A- D conversion. Basic types of image resolution Image Data storage. Comonn and specific data formats. Image compression. Auxiliary data. Basic steps of digital image data processing Preprocessing, radiometric and atmospheric corrections. Geometric correction and transformation. Image enhancement, image histogram. Principles of automatic classification. Suppervised and unsuppervised approaches New methods of image classification. Image processing of RADAR and hyperspectral data. Change detection.

Syllabus

• 1. Basic properties of digital image A-D conversion, DN and its meaning,histogram, multispectral and hyperspectral data, types of vizualization, color spaces, RGB system 2. Preprocessing of digital imagery Radiometric and atmospheric corrections - basic algorithms, geometric correction - overview of common methods(polynomic transformation, splines, TIN, orthocorrection using DEM 3. Image enhancement I. Radiometric (point) enhancements, working with histogram, image contrast, basic types of radiometric enhancements, LUT, density slicing 4. Image enhancement II. Spatial enhancements - image filtering, principles and basic algorithms of high and low pass filtering, Fourier transformation, textural analysis of RADAR images 5. Image enhancements III. Multi band image transformations, color transformations, IHS x RGB, principal component analysis, ratio images, spectral (vegetation) indicies, TASSELED CAP 6. Suppervised image classification I. Spectral signatures and feature space, common approaches, training sites, 7. Suppervised image classification II. Per-pixel classificators - parelellepipeds, minimum distance, maximum likelyhood, spectral signatures and its statistical description and evaluation. Evaluation of image classification - error matrix, test sites. 8. Unsuppervised image classification Spectral and information classes, cluster analysis, ISODATA a K-MEANS, aggregation, postclassification corections 9. New approaches to image classification Fuzzy classification, neural networks, textural and contextual classification kontextuální, SAM, ECHO 10. RADAR data image processing. Specifc features of RADAR imagery, basic algorithms, filtering, textural analysis, examples using RADAR imagery 11. Principles of hyperspectral image analysis. Hyperspectral cube, "mixels" and a "pure" pixels, spectral libraries, endmembers, hyperspectral data classification - unmixing 12. Basic approaches to change detection Ratio images, classification comparison, Change vector analysis, PCA

Literature

• DOBROVOLNÝ, Petr. Dálkový průzkum Země. Digitální zpracování obrazu. 1. vyd. Brno: Masarykova univerzita, 1998, 208 s. ISBN 8021018127. info
• LILLESAND, Thomas M., Ralph W. KIEFER and Jonathan W. CHIPMAN. Remote sensing and image interpretation. 5th ed. Hoboken, N.J.: John Wiley & Sons, 2004, xiv, 763. ISBN 0471152277. info
• CAMPBELL, James B. Introduction to remote sensing. New York: Guilford Press, 1987, xxiv, 551. ISBN 0-89862-776-1. info

Language of instruction

Czech

Further comments (probably available only in Czech)

The course is taught annually.

Listed among pre-requisites of other courses

• ZX555 Copernicus – European Earth Observation and monitoring programme – online
  kredity_min(20) && ((!ZX555A) || (!Z8114)|| !obor(GKGI) || !program(B-GEK) || !obor(KART) || !obor(GIRR) || !obor(GITU)|| !obor(APGI))  
• ZX555A Copernicus – European Earth Observation
  ((!ZX555) && (!Z8108) && (!Z8114)) || souhlas  

• Enrolment Statistics (Autumn 2007, recent)
  
• Permalink: https://is.muni.cz/course/sci/autumn2007/Z8114