Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition

7

Supervised Classifica tion Part 2

Continuing in the present chapter on the subject of supervised classification,

we will begin with a discussion of postclassification processing methods to

improve classificatio n results on the basis of contextual information. Then

we turn our attention to statistical procedures for evaluating classification

accuracy and for making quantitative comparisons between different classi-

fiers. In this context, the computationally expensive n-fold cross-validation

procedure will provide a good excuse to illustrate how to take advantage of

modern cloud-computing services and perform sever al tasks in parallel. As

an example of