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İnşaat Fakültesi
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GEO 313E
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Dersin Haftalık Planı
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Ana Sayfa
Dersin Bilgileri
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Değerlendirme Kriterleri
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Hafta
Konu
1
Introduction, Contents, RS I flashback, pixel, image band histogram and features (mean, st
dev, type etc.), RGB colour, image resolutions, Application with different images and
histograms.
2
Digital Image Processing – Pre-processing I
(Radiometric correction atmospheric correction, topographic correction)
3
Digital Image Processing – Pre-processing I
(Geometric correction)
4
PRACTICE Pre-processing II (Geometric correction)
DATA downloading + SNAP + ArcGIS/QGIS
5
Image enhancement – Point operations (Brightness adaptation, Grey level thresholding, Negation, Contrast ratio, Linear mapping of gain(a) and bias(b))
6
Image enhancement – Point operations (Linear contrast enhancement + Non-linear contrast stretching)
7
Image enhancement – Local operations (Spatial frequency, Spatial filtering, Low pass filtering + High pass filtering)
8
Image enhancement – Local operations (High pass filtering, Noise, Signal-to-Noise ratio, Noise suppression)
9
Low pass filtering + High pass filtering + Noise removal
10
Image transformations - Arithmetic operations (+, -, /, x), multi-band/image manipulation (Rationing, Subtraction, Addition, Multiplication)
11
Image Processing - Classification (thematic mapping, its importance, image/feature space, classification schemes – CORINE, scale/resolution effect, pixel/object based classification, density slicing, problems, limitations)
12
13
Image Processing - Classification - Supervised and Unsupervised Classification
PRACTICE + HW 5 – Supervised and Unsupervised Classification
14
Classification accuracy (Sample design, Reference data, Error matrix, OA, PA, UA, Kappa
error, issues)
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