3. Istanbul 2004 
ming the poor 
; matched points 
matical function 
'ea for the poor 
ach grid point’s 
hing and grid 
; we take the 
ity and achieve 
can be found in 
> 
ed with SI-250 
ur approach for 
| with SI-250 at 
of 10km x lkm 
:nsity residential 
local elevation 
solution of the 
de with PRISM 
e SI-250 images 
sampled images. 
erted into UTM 
m for horizontal 
5 GCPs were in 
. All GCPs were 
re. Additionally, 
mi-automatically 
1e accuracy of 
| and 30cm for 
ation results we 
>d with the DME 
s the compared 
  
  
  
Ua 
Figure 8. Differences between PRISM DEM 
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
   
n" 
and aerial image DEM in Kesennuma area. 
  
  
  
4. CONCLUSION 
Two sets of PRISM simulation data generated from SI-250 
were used to test out approach for DEM generation. We also 
compared the generated DEM from PRISM simulation data 
with the DEM generated from aerial images. The differences of 
more than 93% DEM grids are less than 3m. We have to point 
out that the interpolation methods of the two types of DEM are 
different. The difference between them was not counted here. 
From the triangulation results we think the accuracy can satisfy 
the requirement of DEM generation and line mapping with 
PRISM imagery. The combination of feature point-based 
matching and grid matching can be more appropriate for ALOS 
PRISM data. This paper presents the results of experiments on 
the combination of the two approaches using simulated PRISM 
image generated from air-borne image sensor, TLS (Three Line 
Scanner). 
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