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Contents
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Week 1: |
Introduction to digital image processing |
Week 2: |
Radiometric correction techniques applied to satellite images |
Week 3: |
Atmospheric correction methods and their application to images, sample applications. |
Week 4: |
Fundamentals of geometric rectification or image restoration, polynomial approaches and resampling methods, sample applications in the laboratory. |
Week 5: |
Techniques used in contrast enhancement of images, other image enhancement techniques including IHS transformation Fourier transformation, Principal Components Analysis etc. Assignment - 1. |
Week 6: |
Histogram equalization, density slicing, pseudocolor transformation, application of all enhancement methods and comparison of the results |
Week 7: |
Midterm exam |
Week 8: |
Basics of image analysis techniques, image arithmetics and its possible applications, other operational processes on images. |
Week 9: |
RGB to IHS and IHS to RGB transformations, when to use, its advantages, sample applications in laboratory. |
Week 10: |
PVI, NDVI and PCA techniques, applications and analysis of the results.Assignment - 2. |
Week 11: |
Spatial and frequency filters applied to remotely sensed image data, filtering techniques in remote sensing (low-pass, high-pass) |
Week 12: |
Digital image classification, theory and methods, supervised and unsupervised classification techniques. |
Week 13: |
Applications on sample data sets, preprocesing of radar images, filtering of noises (speckle) in images |
Week 14: |
Basics of image fusion, optic and radar image fusion, pansharpening process and related methods, analysis of hiperspectral images (sample data from DAIS 7915) |
Week 15*: |
. |
Week 16*: |
Final exam |
Textbooks and materials: |
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Recommended readings: |
Mather, P. M., 1999, Computer processing of remotely-sensed images: an introduction: Chichester, John Wiley. Jensen, J. R., 1996, Introductory digital image processing - a remote sensing perspective: London, Prentice Hall. Lillesand, T. M., and R. W. Kiefer, 1994, Remote sensing and image interpretation: New York, John Wiley & Sons. Campbell, J. B., 1987, Introduction to remote sensing: London, The Guilford Press. Maktav, D. ve Sunar, F., 1991, Uzaktan algılama, kantitatif yaklaşım: İstanbul, Hürriyet Ofset A.Ş. Barrett, E.C., and Curtis, L.F., 1999, An introduction to environmental remote sensing, Routledge. Congalton, R.G., and Green, K., 1998, Assessing the accuracy of remotely sensed data: principles and practices, Lewis Publishers.
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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