Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
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(a) Sketch map 
Simulated Image Point (1,7) 
R, = Rq + i ■ R res 
T 
AX' =^Rf-(H-h i ) 2 
Y = Y s ,X i =X s + AX‘ 
t 
Interpolate h t from DEM 
N 
h M -\<£ 
fi 
(X,Y,h) 
Simulated Image Point(i, j) 
R i= Ro +i ' R res 
I 
AX‘=x(H-h i )/f 
Y = Y S ,X,=X S + AT 
it: 
Interpolate fy. from DEM 
N 
1 
h M -hi<£ 
fi 
(X,Y,h) 
(b) Procedure 
(b) Procedure 
Figure 4. Geo-location of slant-range projection 
Figure 3. Geo-location of slant-range projection 
2.4 Re-sampling 
For the central projection imaging model, the iterative solution 
depends on the collinear equation: 
/ = X 
H-h, AX' 
The Fig.4 is sketch map and procedure of iterative solution. 
Choose indirect sampling as re-sampling style, start with image 
point on target stereoscopic image, get pixel gray value from the 
corresponding image point on original SAR image. The 
procedure is as follows: 
lj.Get imaging bounds with geo-location of original image, 
(3) calculate the size of simulated image according to simulated 
imaging resolution; 
2) .Solve corresponding geographic coordinates from simulated 
image point; 
3) .Calculate the original image coordinates with geographic 
coordinates 
4) . Set gray value of the simulated image point to be the original 
image gray value. 
The procedure is as the Fig. 5:
	        
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