Dersin Haftalık Planı

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)

Dersler

Yardım

Hakkında