Faculty of Technical Sciences

Subject: Introduction to Remote Sensing and Image Processing (17.GI406A)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Scientific-professional
Scientific or art field Geoinformatika
ECTS 6

To acquire basic and applied knowledge in the field of geodesy, geomatics and geoinformatics. To acquire basic and applied knowledge in the field of remote sensing and computer image processing.

Acquired knowledge is used in professional courses, as well as in the recognition and in solving the engineering problems.

Introduction to remote sensing. Technological bases. Sensor platforms. Interpretation of sensor images. Image pre-processing. Image transformations. Filtering. Interpretation methods in remote sensing. Subjective interpretation, properties and limitations. Interactive interpretation with partially automated functions. Image modification. Highlighting, ranking and reducing the amount of marks. Classification. Segmentation. Algorithms for classification and segmentation. Automated classification. Supervised classification. Registration and geocoding. Image merging. Standard patterns and algorithms. Quality control and accuracy assessment. Programme tools for remote sensing.

Teaching forms: lectures, computer practice, consultations, individual elaboration of obligatory tasks, Problem Based Learning. Knowledge evaluation: guided and individual elaboration of 3 obligatory tasks and 2 tests and final examination – oral form.

Authors Title Year Publisher Language
Canada Centre for Remote Sensing Fundamentals of Remote Sensing 2016 Canada Centre for Remote Sensing English
Mather, P.M. Computer Procesding of Remotly-Sensed Images: An Introduction 2004 John Wiley&Sons, Chippenham English
McCloy, K.R. Resource Management Information Systems: Remote Sensing, GIS and Modelling 2006 CRC, Taylor & Francis group, New York English
John R. Jensen Introductory Digital Image Processing - A Remote Sensing Perspective 2005 Pearson Prentice Hall English
Course activity Pre-examination Obligations Number of points
Oral part of the exam No Yes 50.00
Computer excersise defence Yes Yes 15.00
Computer excersise defence Yes Yes 10.00
Test Yes Yes 5.00
Computer excersise defence Yes Yes 15.00
Test Yes Yes 5.00
API Image

Assoc. Prof. Jovanović Dušan

Associate Professor

Lectures
API Image

Asistent sa doktoratom dr Vrtunski Milan

Assistant with PhD

Computational classes
API Image

Assoc. Prof. Jovanović Dušan

Associate Professor

Computational classes

Assoc. Prof. Radulović Aleksandra

Associate Professor

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.