Digital Processing of Images
Informacje ogólne
Kod przedmiotu: | WIGGXCSE-Dpi |
Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
Nazwa przedmiotu: | Digital Processing of Images |
Jednostka: | Wydział Inżynierii Lądowej i Geodezji |
Grupy: | |
Punkty ECTS i inne: |
(brak)
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Język prowadzenia: | angielski |
Forma studiów: | stacjonarne |
Rodzaj studiów: | LLP Erasmus |
Forma zajęć liczba godzin/rygor: | (tylko po angielsku) W 14/x, L 16/+ |
Przedmioty wprowadzające: | (tylko po angielsku) Photogrammetry |
Programy: | (tylko po angielsku) Theoretical lectures (W): The course program covers selected theoretical and practical issues related to analysis and digital processing of aerial and satellite panchromatic or multispectral images. The main emphasis is put on the knowledge of basic image processing methods and techniques, professional digital processing software tools, as well as proper image selection. Topics: 1. High resolution satellite image orthorectification based on Digital Terrain Model (DTM) and ground control points (GCPs) set. 2. Image filtration in frequency domain (Frequency Domain Filters). Fast Fourier Transform (FFT). PSF analysis. 3. Satellite images corrections. DIPS. 4. Morphological operations. Image segmentation. 5. Basic characteristics of radar images. Noise removal and filtering of radar images. Laboratory (L) tasks: Students individually perform tasks in a remote sensing environment. Examples of tasks: 1. High resolution satellite imagey (i.e. Ikonos2, VW-1, VW-2, QuickBird) orthorectification based on Digital Terrain Model (DTM) and ground control points (GCPs) set. 2. Fast Fourier Transform. PSF analysis. Filtration and return to imaging in the spatial domain. 3. Radiometric corrections of satellite images. 4. Morphological operations. Image segmentation. 5. Radar images noise and artifacts removal technics. |
Skrócony opis: |
(tylko po angielsku) The course program covers selected theoretical and practical issues related to analysis and digital processing of aerial and satellite panchromatic or multispectral images. The main emphasis is put on the knowledge of basic image processing methods and techniques, professional digital processing software tools, as well as proper image selection. |
Pełny opis: |
(tylko po angielsku) Theoretical lectures (W): The course program covers selected theoretical and practical issues related to analysis and digital processing of aerial and satellite panchromatic or multispectral images. The main emphasis is put on the knowledge of basic image processing methods and techniques, professional digital processing software tools, as well as proper image selection. Topics: 1. High resolution satellite image orthorectification based on Digital Terrain Model (DTM) and ground control points (GCPs) set. 2. Image filtration in frequency domain (Frequency Domain Filters). Fast Fourier Transform (FFT). PSF analysis. 3. Satellite images corrections. DIPS. 4. Morphological operations. Image segmentation. 5. Basic characteristics of radar images. Noise removal and filtering of radar images. Laboratory (L) tasks: Students individually perform tasks in a remote sensing environment. Examples of tasks: 1. High resolution satellite imagey (i.e. Ikonos2, VW-1, VW-2, QuickBird) orthorectification based on Digital Terrain Model (DTM) and ground control points (GCPs) set. 2. Fast Fourier Transform. PSF analysis. Filtration and return to imaging in the spatial domain. 3. Radiometric corrections of satellite images. 4. Morphological operations. Image segmentation. 5. Radar images noise and artifacts removal technics. |
Literatura: |
(tylko po angielsku) Castleman Kenneth R., „Digital image processing”, 1996 |
Metody i kryteria oceniania: |
(tylko po angielsku) Lectures: Written exam The final exam covers the scope of lectures in a form of theoretical and problem open questions. The learning outcomes are considered to be achieved if Student scores a minimum of 60%. <60% – 2.0 (Unsatisfactory Achievement); <60-65%) – 3.0 (Satisfactory Achievement); <65–75%) – 3.5 (Satisfactory Achievement); <75-85%) – 4.0 (Good Achievement); <85-95%) – 4.5 (Very Good Achievement); <95-100%> – 5.0 (Excellent Achievement). Laboratory: Student completed all compulsory tasks correctly and independently, including homework tasks, and passed short test. 3.0 (Satisfactory Achievement) – Student completed all compulsory tasks correctly and independently; High class attendance. 3.5 (Satisfactory Achievement) – as above and answered some additional questions concerning the tasks completion; 4.0 (Good Achievement) - as above and Student is able to explain why she/he chose the particular method; 4.5 (Very Good Achievement) - as above and Student is able to critically evaluate the task results and provide an alternative; 5.0 (Excellent Achievement) - as above and Student provided written reports describing each task aim, scope and results. 2.0 (Unsatisfactory Achievement) - Student did not meet minimum course requirements. |
Właścicielem praw autorskich jest Wojskowa Akademia Techniczna.