The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
1127 
: (a) After segmentation 
(b) Merged segmentation 
(c) After thresholding 
(d) Classification result 
Figure 5 Result of each processing step 
As explained in previous section, classification method 
considering the spectral trait and object-based is appropriate for 
classification technique of high resolution image and general 
process is as Picture 4. Since capacity of image for total target 
region is large and considerable processing time is consumed, 
test was carried out by sampling the housing concentrated area. 
In this process, determination on factor for each classification 
stage is attempted. 
It was classified that 8.5% was residential read and road, 76.7% 
was forest and cultivate site and 14.8% was water. Since it was 
filmed in October, agricultural products were abundant in 
overall cultivate site but it could be classified together in aspect 
of forest and vegetation index thus it was harvesting period. It 
was classified as 32.2% of cultivate site and 44.5% of forest. 
3.4 Land Used Map 
Figure 5(a) presents the test sampling region for coverage 
classification among target region and (b) is the image 
segmented by setting proper scale. As a result, road, building, 
forest, etc were detected. It is the image displayed with average 
value of segments after combining adjacent segments, 
Figure5(c) presents the allotted value for each segment of 
sample region and final classification image was sought after 
granting the color to each ROI after determining the threshold 
so that segments can be classified well. 
Figure 6 Final result 
Land use 
Ratio I 
residential area +road 
8.5% 
cultivate site 
32.2% 
forest 
44.5% 
water 
14.8% 
Land category was extracted and symbol color was granted for 
each land use using ArcGIS Desktop 9.2 from annotation 
3<Nul> 
O historical places 
□ orchard 
□drain 
■ needy 
■ habitation 
■ road 
□ pastire 
□ grave 
□fish terms 
□ swamp 
■forest 
□ mixed use 
£3 industrial a-ea 
□ crop iekJ 
□ empanlcment 
□ reSgicn area 
□ gas station 
□pairing lots 
□ warehouse 
■ rivers 
□ school zone 
Figure 7 Land use map 
among layer of 1:1000 cadastral map. Land use map was 
created as Picture 11 classifying 21 land categories and non- 
classified as null. Grouping was carried out to compare the land 
coverage classification using image and it was combined as 5 
classes as Diagram 5. 
Land use 
Parcels 
area() 
Ratio II 
residential area 
4289 
4482367 
6.2% 
cultivate site 
15679 
24301324 
33.4% 
water 
2558 
11440853 
15.7% 
forest 
4757 
29880693 
41.0% 
road 
3549 
2460073 
3.4% 
null 
153 
245956.6 
0.3% 
30985 
72811267 
100% 
Table 3 The number of parcel and area with respect to class 
Table 2 Classification ratio 
Ratio of each class was acquired as residential area: 6.2%, 
cultivate site: 33.4%, water: 15.7%, forest: 41%, road: 3.4% 
and null: 0.3% from total region.