Geography Reference
In-Depth Information
variance. The algorithm of the method of deployment is widely presented and discussed
(Cocquerez et al., 2001).
4.4. Algorithm classification
The final image is classified by the method of detection modes and valleys of the histogram.
The classification algorithm implemented is summarized by the following steps:
1.
construct the histogram of the image (Table
);
2.
detect
local extrema of Table
, where
is the number of classes desired. The
abscissas of the
local extrema represent the nuclei or centers of different classes of
formation;
3.
group pixels of the image according to the criterion of minimum distance to the various
cluster centers. Each pixel is placed in the class whose center is closest;
4.
assign one color to the pixels belonging to the same class and display the resulting
image.
The details of the third point of this classification algorithm can be found in (Akono et al.,
2003).
5. Application
5.1. Data used
The mangrove is a type of vegetation that grows in water or in mud. We tested the proposed
method on a SAR image of E-SAR program (Figure 4), registered on C-band (wavelength
5.66 cm) and VV polarization with a resolution of 6m acquired on the mangrove coastal
region of Cameroon.
Figure 4.
Experimental image SAR image of the mangrove region
The image obtained from Mount Cameroun region is also used. The studied site is situated
in the south west of Cameroon. The Mount Cameroon is a volcano in activity. The image
