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on added
iding the
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1., 2007).
ıhouse as
lue which
most was
attribute
should be
s for the
the vinyl
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ided with
ssification
Ilel-piped
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id vinyl
ouse was
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house and
he vinyl
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tion, bare
vegetation
sclassified
on results
(b) Minimum Distance
Classification
T
(c) Maximum (d) Mahalanobis
le-based
m m eut
Classification Classification n
Figure 3. Classification result in downtown area
In the case of the supervised classification method, the
classification about the vegetation, bare soil parts were carried
out well, but the building parts with similar spectral information
with the vinyl greenhouse showed the misclassification. But on
the other hand, the similar vegetation, bare soil parts of the
object attribute with the vinyl greenhouse showed
misclassification except the building by the rule-based
classification method. It means the misclassification features
with different features, so the vinyl greenhouse was extracted
by connection of the method, rule-based classification method
in each supervised classification. Mask band was created using
greenhouse which was extracted in supervised classification
result. Vinyl greenhouse corresponding with result of rule-
based classification was masked using the created mask band.
This helped to obtain new classification image.
As the results of the connection, the vegetation area showed
overall, good extract results, but the parts which were missed in
the rule-based classification were not included in the connection
process also. In the downtown area, a considerable number of
building parts which were misclassified due to the spectral
information in the supervised classification method was reduced
through the connection process, and the vegetation and bare soil
parts which were misclassified with the vinyl greenhouse were
removed in the rule-based classification results. But some parts
which were misclassified from the supervised classification
method and rule-based classification were not removed. Fig. 4
showed the connected classification results in the downtown
area.
(b) Minimum Distance
Classification
(a) Visual Interpretation
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B1, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
(¢) Maximum Likelihood (d) Mahalanobis Distance
Classification Classification
Figure 4. Connection classification results
in the downtown area
(2) Analysis on the land cover detection accuracy
For the land cover detection accuracy analysis, the
Maharanobis distance classification which the vinyl greenhouse
was classified most among the supervised classification
methods was selected, and the accuracy analysis was carried out
by comparing with the visual interpretation results. The
accuracy analysis was carried out by calculating the distribution
area of the vinyl greenhouse by using the area of each pixel. Fig.
5 showed the area rate graph by each classification method
based on the visual interpretation area.
200
= me em,
50 TII
60
40 -
23
9
Rule-based Connected- zd
Disistance M d sec Classification N Missa
ium 3
Classification | Cassitication Method Interpretation
Figure 5. Vinyl greenhouse distribution area
by classification method
If the visual interpretation area is 100%, Maharanobis distance
classification is 187.1%, rule-based classification is 184.6%,
and it can be seen that the vinyl greenhouse was over-classified
than the existing distribution. In the case of Maharanobis
distance classification, it is judged that the object with the
similar spectral information was misclassified with the vinyl
greenhouse, and in the case of the rule-based classification
method, the attribution of the object such as the vegetation
figure, form, size etc. is similar with the rule dividing the vinyl
greenhouse and it is misclassified. In addition, it can be
assumed that the quantity of misclassification is significantly
reduced with 77% of visual interpretation areas for the
connection of two methods, and it is judged that each part
which was misclassified in the connection process was carried
out with complementary.