548-0024/03 – Digital Processing of Remotely Sensed Data (DZDPZ)

Gurantor departmentDepartment of GeoinformaticsCredits5
Subject guarantorIng. Tomáš Peňáz, Ph.D.Subject version guarantorIng. Tomáš Peňáz, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction1999/2000Year of cancellation2016/2017
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOR10 doc. Ing. Jiří Horák, Dr.
PEN63 Ing. Tomáš Peňáz, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 6+6

Subject aims expressed by acquired skills and competences

The main aim of this subject is to introduce students into the digital processing of remotely sensed data. This know-how can be used as a tool within some subjects studies. The course participant understands how to practically use these digital image processing methods. He achieves critically assess this processing outcome.

Teaching methods

Lectures
Tutorials
Project work

Summary

The subject introduces the methods for digital processing of remotely sensed imagery. The subject has a practical orientation, combining conceptual foundations with a view towards applications. Students are offered a selection of advanced processing techniques for remotely sensed imagery. The course participant manages to choose the appropriate processing method, comprehends how to use the method practically and is able to assess the processing outcomes critically.

Compulsory 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, ISBN-13: 978-0131453616 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.

Recommended 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.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No additional requirements are imposed on the student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

- Raster data gathered using remote sensing methods. N-dimensional image data. Elementary descriptive statistics. Spatial statistics for remote sensing. Multiple linear regression. - Image data format, import and export. Image file format conversion. Remote sensing image data overview. - Digital image data errors. Image data pre-processing. Radiometric and atmospheric image correction. - Image enhancement . The main aim of image enhancement techniques and its review. - Radiometric, spatial, spectral enhancement of remote sensed data. Multispectral image processing. - Image geometric transformation. Image registration and the removal of geometric distortion. Numeric transformation, polynomial equations, ground control points, transformation matrix. Image moving, scale, rotation, resampling. - Extracting information from image. Visual interpretation and automated classification. Main approaches to image classification. Classification rules. - Using spectral classification rules in supervised or unsupervised process. Parametric and non-parametric classification rules. Evaluating of automatomated image classification. Comparing semi-automated classification and visual interpretation methods. - Complementary classification approaches for image processing. Contextual classification, Automated Change Detection and Classification. Fuzzy image classification. Using artificial intelligence. Object-oriented image classification. - Hyperspectral image processing. - Radar sensed image processing. - Integration of remote sensed data with GIS.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Summer semester, validity until: 2014/2015 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 33 (33) 17
                Project Project 13  6
                Written exam Written test 13  6
                Presence Other task type 7  5
        Examination Examination 67 (67) 25
                Written examination Written examination 40  21
                Oral Oral examination 27  4
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2016/2017 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2016/2017 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2015/2016 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2015/2016 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2014/2015 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2014/2015 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2013/2014 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2013/2014 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2012/2013 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2012/2013 (N3646) Geodesy and Cartography (3602T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2012/2013 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2012/2013 (N3646) Geodesy and Cartography (3602T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2012/2013 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics K Czech Ostrava 1 Compulsory study plan
2012/2013 (N3654) Geodesy, Cartography and Geoinformatics (3608T002) Geoinformatics P Czech Ostrava 1 Compulsory study plan
2011/2012 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2011/2012 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2010/2011 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2010/2011 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2009/2010 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2009/2010 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2007/2008 (B3646) Geodesy and Cartography (3646R006) Geoinformatics K Czech Ostrava 3 Compulsory study plan
2007/2008 (B3646) Geodesy and Cartography (3646R006) Geoinformatics P Czech Ostrava 3 Compulsory study plan
2007/2008 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2007/2008 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2006/2007 (B3646) Geodesy and Cartography (3646R006) Geoinformatics K Czech Ostrava 3 Compulsory study plan
2006/2007 (M3646) Geodézie a kartografie (3602T002) Geoinformatics P Czech Ostrava 4 Compulsory study plan
2006/2007 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) P Czech Ostrava 1 Compulsory study plan
2006/2007 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 1 Compulsory study plan
2006/2007 (B3646) Geodesy and Cartography (3646R006) Geoinformatics P Czech Ostrava 3 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
ECTS - FMG 2016/2017 Full-time English Optional 501 - Study Office stu. block
O - ECTS FMG 2015/2016 Full-time Czech Optional 501 - Study Office stu. block
O - ECTS FMG - Study Further 2014/2015 Full-time Czech Optional 501 - Study Office stu. block
O - ECTS FMG - Study Further 2013/2014 Full-time Czech Optional 501 - Study Office stu. block
O - ECTS FMG - Study Further 2012/2013 Full-time Czech Optional 501 - Study Office stu. block