RS - Basics Classification Part A

Table of Contents	Author:dr ir J.G.P.W. Clevers
01 Lectures Remote Sensing
02 Classification
03 Spectral Variability
04 2-Dimensional Feature Space Plot
05 Classification
06 Spectral Classification
07 Minimum distance to means classification
08 Nearest neighbour classification
09 Maximum likelihood classification
10 Parallelepiped (box) classification
11 Example of classification agricultural field trial
12 Spectral Pattern
13 Image Statistics
14 Image Statistics -2-
15 Matrix notation
16 Application to Individual Classes
17 Conditional Probability
18 Gaussian Distribution
19 Rejection Class
20 Maximum Likelihood Classification (MLHD)
21 Bayes Classification
22 Decision Rules