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Course Weekly Lecture Plan

Week Topic
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
5
6
7
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
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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