Feasibility study of mobile tower locations using classification
result of satellite image
Ajaze Parvez Khan
What is Paper about!!
Once any network planning is completed…
We check is it possible to implement this network on
Through this paper we are proposing that
FEASIBILITY can be ascertained employing
Wireless communication is one of the most rapidly growing
technologies worldwide. Various industry software like Kiema
Overture , Akosim , etc are used for efficient network planning for
various wireless technologies.
Owing to the high costs and the scarcity of installation sites, an
accurate and efficient site location verification procedure is
Till date multispectral classification has never been undertaken
for validation of site locations especially mobile tower locations.
An attempt has been made to employ multispectral classification
technique to analyze the feasibility of installation of location for
mobile communication towers thereby reduction in cost incurred on
field visits to a certain extent.
Supervised Classification of
Draping of classified satellite
image of the region on this
(verification) of mobile
towers at these locations
D = ln(ac
) - [0.5 ln(|Covc
|)] – [0.5 (X-Mc
) T (Covc
The maximum likelihood decision rule is based on the
probability that a pixel belongs to a particular class. The
basic equation assumes that these probabilities are equal
for all classes, and that the input bands have normal
The equation for the maximum likelihood classifier is as
D = weighted distance (likelihood)
C = a particular class
X = the measurement vector of the candidate pixel
= the mean vector of the sample of class c
= percent probability that any candidate pixel is a member of class c
(defaults to 1.0 for MLC, or is entered from apriori knowledge)
= the covariance matrix of the pixels in the sample of class c
| = determinant of Covc
= inverse of Covc
ln = natural logarithm function
T = transposition function
The pixel is assigned to the class, c, for which D is the lowest.
Using DEALDEM* application
to find locations of mobile
towers on 3D model
*DEALDEM IS THE WEB BASED APPLICATION DEVELOPED INHOUSE FOR FINDING OPTIMAL LOCATIONS OF THE TOWERS
Dialog for 3D
over the DEM
A Completely sits
B Completely sits
over forest area REJECTED
C Sits over mixed
Can be installed
(If land or building for
installation is available,
field visit required)
1)In this paper it is proposed that multispectral classification
may be used as a tool to find the feasibility of locations for human
2)The results show that multispectral classification is effective
to decide the feasibility of location.
3)The results also suggest that classification results provide an
excellent tool for validation of network planning.
4)Immense effort and resources can be saved if feasibility of
any facility location is first established on classified image of that
5)For the locations that are not approved, the information may
be used as a feedback mechanism to compute the acceptable and
accurate tower locations.
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