Then the compressed image is classified using
supervised classification technique for accuracy
assessment. The error matrix is a means of
comparing two thematic maps. This describes the
accuracy of the classified map with respect to the
reference map The compressed and classified
images are shown in Figure 4 and Figure 5. The
error matrix is constructed by defining the
signatures of each class. The error matrix and the
signature editor are shown inTable 3 and Table 4
respectively. From the error matrix table, it is
found that 14 errors occurred out of 1340 samples.
The Figure 6, Figure 7 and Figure 8 shows the
spectral signature graph, compression ratio and
peak signal to noise ratio of the compressed image
at decomposition level 3.