Courses list

Wersja polska

Course code: IGS20785o16
Semester: 2016/2017 summer
Name: Digital Image Processing
Major: Geodesy and Cartography
Study Type: second cycle
Course type: compulsory
Study Semester: 2
ECTS points: 4
Hours (Lectures / Tutorials / Other): 15 / 30 / 0
Lecturer: dr inż. Przemysław Tymków
Language of instruction: Polish / English
The course in English will be available if a minimum of 6 students sign up for a group. If less than 6 students sign up for the group, the course will be available in Polish with the possibility of individual support in English.

Learning outcomes: Knowledge: The student has knowledge of the methods of collection, storage and digital images processing. He knows the basics of digital methods in photogrammetry and remote sensing. Student has a general, theoretical knowledge of the probabilistic methods and artificial intelligence used to classify the content of digital images. Skills: Student can perform advanced digital image transformation based on the tools available in the general and specialized software packages used in photogrammetry, remote sensing, geodesy and cartography. Can individually implement the basic algorithm of digital image processing. Social competences: Is aware and understands non - technical aspects and impact of using the technology acquisition and digital image processing in engineering work.

Competences:

Prerequisites:

Course content: The basic methods and techniques of digital image processing. Applications of digital image processing techniques in digital photogrammetry, remote sensing, cartography and geodesy. Implementation of digital image processing in VB.

Recommended literature: 1. R. Tadeusiewicz, P. Kohorda,: Komputerowa analiza i przetwarzanie obrazów, Wydawnictwo Fundacji Postępu Telekomunikacji, Kraków 1997; 2. J. Adamczyk, K. Będkowski,: Metody cyfrowe w teledetekcji, Wydawnictwo SGGW, Warszawa 2005M; 3. D.T. Larose,: Metody i modele eksploracji danych, Wydawnictwo Naukowe PWN, Warszawa 2008; 4. T. Kubik, W. Paluszyński, A. Iwaniak, P. Tymków,: Klasyfikacja obrazów rastrowych z wykorzystaniem sztucznych sieci neuronowych i statystycznych metod klasyfikacji. Monografia , Wydawnictwo Uniwersytetu Przyrodniczego we Wrocławiu, Wrocław 2008

Assessment methods: tests, written reports, tests, written exam

Comment: