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NİNOVA
DERSLER
YARDIM
HAKKINDA
Neredeyim:
Ninova
/
Dersler
/
İnşaat Fakültesi
/
GEO 313E
/
Dersin Bilgileri
Fakülteye dön
Ana Sayfa
Dersin Bilgileri
Dersin Haftalık Planı
Değerlendirme Kriterleri
Dersin Bilgileri
Dersin Adı
Türkçe
Digital Image Processing
İngilizce
Digital Image Processing
Dersin Kodu
GEO 313E
Kredi
Ders
(saat/hafta)
Uygulama
(saat/hafta)
Labratuvar
(saat/hafta)
Dönem
-
-
3
1
-
Dersin Dili
İngilizce
Dersin Koordinatörü
Esra Erten
Dersin Amaçları
In general, the aim of this course are to develop the students' skill and knowledge of the principles, equipment, and techniques utilized in digital image processing, to teach how to apply the basic processing methods such as pre-processing, thematic mapping etc., and enable them how to assess the results.
Dersin Tanımı
The course will cover and introduce the concepts, techniques and tools for digital image processing used in remote sensing to solve the issues in Geomatics engineering and environmental problems. The course primarily enables students to gain hands-on-experience in applying these tools to process the satellite images. Hence, the project assignments form a key component of this course.
Dersin Çıktıları
Analyses different information extraction techniques (visual and/or digital) from digital images.
Performs the basic digital image processing methods (i.e. pre-processing, image enhancement, image arithmetic and classification).
Applies radiometric correction techniques as a pre-processing step and arranges them for subsequent image processing steps.
Applies geometric correction techniques as a pre-processing step and arranges them for subsequent image processing steps.
Evaluates the image enhancement methods (point operations (linear and nonlinear contrast stretching, brightness modification, negation, etc.), local operations (spatial filtering, etc.), density slicing, noise removal, etc.).
Evaluates the methods used in image transformation (band arithmetic, masking, indexes etc.).
Evaluates the image classification process (pixel based methods, land use/cover concepts, thematic mapping, post-classification smoothing and accuracy assessment (sample number, sample design, error matrix, Kappa accuracy).
Performs a design, an application and an evaluation of a remote sensing project.
Önkoşullar
Gereken Olanaklar
Diğer
Ders Kitabı
• Lillesand, T.M , Kiefer, R.W., 2007, Remote Sensing and Image
Interpretation, John Wiley Sons, 6th edition, USA.
• Campbell, J. B., 2011, Introduction to Remote Sensing, Second edition, The Guilford Press, 5th edition.
• Digital Image Processing
http://user.engineering.uiowa.edu/~dip/LECTURE/contents.html
• Fundamentals of Remote Sensing
http://www.ccrs.nrcan.gc.ca/ccrs/learn/tutorials/fundam/ download_e.html
Diğer Referanslar
Dersler
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