delineate the relation between them.
context of Image statistical analysis is very important.
combination are known as feature selection techniques.
Y. M. GAMBAROVA ET AL.
ers in remote sensing for many years [3-5].
the separability [4 ],  and .
Baku as in presented in the Figure 1.
logical sites and is also known for its rare vegetation.
tion and classification of Ra re Vegetation comm uniti es.
site for combined ecological and remote sensing studies.
nary data on the spreading of rare plants in the study area.
have provided information on habitat types and status.
classification and 3) output and validation.
of the full variability of spectral response in that class.
requirement is for roughly 30 to 300 pixels per class.
bility, signature statistics and scatter plots.
deviations valu es on each band used.
Figure 2. Interpretation of SPOT image and field survey.
We can view graphs of these statis tics for compare cla s ses .
as is shown in table below.
values present in Table 2.
gence (TD) and Jeffries-Matusita distance (JM).
trix was calculated (Table 3).
sample pixels are actually classified as expected .
primarily of pixels that belong to its co rresponding class.
Table 2. Best minimum and best average separability (Initial classification scheme).
Table 3. Contingency matrix. Initial classification scheme.
separability matrix on the best band combinations.
vide a fairly accurate classification.
Table 4. Final classification scheme.
Table 5. Transformed divergence separability matrix for training classes.
Table 6. Jefferies-matusita distance separability matrix for training classes.
Table 7. Contingency matrix. Final classification scheme.
Overall Accuracy is 74.2% (Table 7).
tial classification scheme (overall accuracy = 57.6%).
rejected (Table 2 and Table 3).
each other (Table 6 and Table 7).
tional Journal Remote Sensi ng, Vol. 23, No. 15, 2002, pp.
Remote Sensing, Vol. 20, No. 12, 1999, pp. 2443-2460.
ence, Vol. 105, No. 5-6, 2009, pp. 83-96.
mation Science and Engineering, 2008, pp. 96-102.
Sensing, Vol. 20, No. 8, 1999, pp. 1461-1486.