1 |
Introduction, Purpose of the course
? Week Contents,
? RS I flashback,
? Digital image, why need to process images? DP levels (low, mid and high)
? DI history, pixel, image band histogram and features (mean, st dev, type etc.), cumulative histograms, contrast and brightness info from histograms
? RGB colour,
? image resolutions,
? Application with different images and histograms (application areas) |
2 |
Digital Image Processing – Pre-processing I (Radiometric correction)
? Purpose of corrections
? Radiometric corrections
o Sensor imbalance (noise(bit error), striping, dropped lines)
o Atmospheric corrections (purpose, haze reduction, is correction necessary? (Yes or No); Absolute atmospheric correction (Empirical Line Calibration); Relative atmospheric correction Dark object subtraction method and Regression method)
o Scene illumination and viewing geometry (Seasonal Compensation, Sun angle correction, Importance for image mosaics) |
10 |
Image transformations - Arithmetic operations (+, -, /, x), multi-band/image manipulation (Rationing, Subtraction, Addition, Multiplication) |
14 |
Classification accuracy (Sample design, Reference data, Error matrix, OA, PA, UA, Kappa
error, issues) |