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)