International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
Figure 5 shows two input data of the change detection analysis 
as illustrated in Figure 4. These images are collected on 
different times. 
  
BEFORE AFTER 
  
Change Detection 
Results 
Figure 5. Results of change detection analysis and satellite 
imageries. 
   
   
Collapsed 
Buildings 
   
  
Figure 6. Change detection results are displayed as in red and 
green colors. 
As given in flowchart two satellite images, which are collected 
on different times, are processed to each other by using the 
building data as mask. The results could be seen in Figure 6 in 
red and green colors. Green colors show the DN values that are 
increased in this pixel and red colors show the DN values that 
are decreased in this pixel. After this results it will be healthier 
to check this results visually. The number of red and green 
pixels could be increase or decrease depends on to the 
threshold, which was choosed. This threshold describes the 
percentage of the DN values of the pixels, which will be taken 
into consideration in the analysis. 
Using IKONOS imagery, it is possible to work on building 
scale after the disaster. Digitization can be performed on this 
scale and if there is also available data, including the attributes; 
it is easier, faster and more reliable to update the data. 
3. THANKS 
I appreciate the support of INTA SPACETURK for the data and 
technical support in this study. 
4. REFERENCES 
1. Colwell, R.N. (Editor-in-Chief). 1983. Manual of Remote 
Sensing. American Society of Photogrammetry. Falls Church, 
Virginia. 
2. Aronoff, S. 1991. Geographic Information System: A 
management Perspective. pp.48-51 
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