Full text: Proceedings of the Workshop on Mapping and Environmental Applications of GIS Data

  
complicated one in aspect of error propagation 
as passing through two object spaces. 
2.1 Relative orientation 
The relative orientation aim is to deter- 
mine a relative spatial position between two 
adjacent photographs so that each homologous 
pair of rays from the two photographs will in- 
tersect in space. The mathematical model ex- 
presses this condition (which is known as the 
coplanarity condition) is based on a equation of 
the kind of (À x B)-C - 0, which is satisfied 
by the determinant: 
pP Tr 
Wo v Wwi-0 
u, v, VW; 
where: 
u X 
v|-2 R(K,9,0)| Y 
W f 
x, y - Photograph coordinates 
f- Principal distance 
P- Vector between the perspective center 
R- Rotation matrix 
The transformation parameters are solved by a 
least squares adjustment of observation equa- 
tions, based on the mathematical model. The 
adjustment provides the computed parameters 
variance-covariance matrix, that is given by: 
Ya "N? 
where: 
y! *y 
  
N-4 4 gie 
n-u 
The solved parameters, enables a trans- 
formation of the photograph coordinates to the 
stereo-model reference coordinate system. 
10 
2.2 The stereo-model reference coordinate 
system 
The stereo-model (model) reference co- 
ordinate system functions as a mediate object 
space between the photograph reference coor- 
dinate system and the ground reference coordi- 
nate system. Coordinates in the model refer- 
ence coordinate system are computed by apply- 
ing the relative orientation transformation on 
the measured image coordinates. The relative 
orientation transformation errors produce er- 
rors to the model coordinates, that are evalu- 
ated by using error propagation technique 
which is expressed as: 
Si IS 
where: 
>, - Variance covariance of the source object 
space 
Y «- Variance covariance of the target object 
space 
F,- The transformation matrix between the 
two object spaces 
The model coordinates are computed by the 
collinear rule which, by using rotation angles as 
transformation parameters, is illustrated as: 
  
  
  
Fig. 1. The stereo-model scheme 
The model coordinates are computed by: 
Zm-b*w*w"/(w"*u'-u"* w) 
Xm 7 Zm * u'/ w' 
Ym 7 Zm * (v/w' + v"/w")/2 
and the vai 
as: 
Nc: 
where the e 
ing the pr 
chain rule, : 
oXm  oX 
OK ol 
oYm oY 
OK ou 
oZm 02i 
OK ou 
In ca 
transformat 
a matrix th 
point gives 
addition to 
covariances 
2.3 Absolu 
The a 
transformat 
ence coordi 
coordinate 
transformat 
dinate trans 
tion and tra 
X 
y 
Z 
The t 
ally, solvec 
observation 
cal model, 
termined b 
proach, alt] 
the observa 
important c 
tion's accur
	        
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