Full text: Close-range imaging, long-range vision

. However, a rough 
or these photos was 
istances appearing on 
were these particular 
hem to the best of our 
ment method, which 
practically everything, 
This method is none 
1. As output products 
n points, co-ordinates 
; and, of course, the 
eras used. In such an 
vailable would be of 
ware was available. It 
ire with long presence 
The characteristics of 
| observations 
ation 
letic measurements in 
tive of their attitude 
ts 
niques 
dons, as the software 
ell known collinearity 
image co-ordinates of 
on the images, the co- 
the eventually known 
and all the necessary 
" the camera (Kruck, 
co-ordinates of the 
's attitudes expressed 
e co-ordinates of all 
nt and — if so required 
erior geometry of the 
efficients of the radial 
1ates of the principal 
preparation stage was 
enlarged and used in 
ch would be necessary 
eration resulted to a 
s constructed with the 
t also with the help of 
the immediate knowledge of such a complicated monument. 
Hence a total of 242 points were determined, necessary to 
provide a firm basis for the final drawing. These points 
appeared on at least 2 images and at maximum on 12. 
The co-ordinates of these points could not be determined from 
the existing elevation drawing, as these were in rotated systems. 
Hence three dimensional distances between almost all of the 
points could only be determined from the work completed so 
far. It is obvious that in this way all possible geodetic 
measurements were made available for the adjustment. 
The above described image data were scanned at a resolution of 
1200dpi on an AgfaScan desktop scanner, thus resulting to a 
pixel size of 21pm, which corresponds to approximately 85mm 
on the ground. It was thought that although the use of a simple 
off-the-shelf scanner could introduce geometry errors, these 
would be adjusted later. In order for the image co-ordinates to 
be measured a simple own developed software (Stambouloglou 
et al. 1999) was used. With this software one may perform all 
the necessary measurements within the AutoCAD environment 
and receive as output an ASCII file with the image co-ordinates 
referred to the principal point. 
All the determined points were marked on all images they 
appeared and then the measurements were performed. As for 
the interior orientation, the knowledge that the negative size 
was the standard 26x34 mm was used. Approximately 1200 
measurements were necessary for this task. The RMS errors for 
each affine transformation and also the number of observations 
for each image are given in Table 1. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Image RMS error (um) No of obs 
1 26 59 
3 34 91 
4 20 64 
5 10 116 
6 18 78 
7 15 129 
8 6 120 
9 3% 46 
10 37 66 
11 111 
12 3 86 
13 7 56 
15 41 117 
16 2 67 
Mean 17 1206 
  
  
  
  
  
Table 1: RMS errors after the affine transformations and 
number of observations for all images used 
4. DATA ADJUSTMENTS 
4.1 Input files 
BINGO-F requires two input files. One file, image.dat, contains 
the image co-ordinates as measured. The other file, geoin.dat, 
enables the user to fully control all parametrs involved. It was 
decided to variate several parameters for the adjustments. 
Firstly it was obvious that the images were taken with a zoom 
lens, which actually could be interpreted that practically every 
image was taken with a different camera. Hence the camera 
constant and the position of the principal point should definitely 
be included in the unknown parameters. 
As already mentioned, BINGO-F may adjust a photogrammetric 
network without any ground control points, under certain 
circumstances of course. Additionally either distances between 
points or geodetic co-ordinates would enhance the strength of 
the adjustment. Hence the kind and the quantity of the ground 
control was another interesting subject for variation during the 
adjustments. 
4.2 Performing the adjustments 
The adjustment was performed dozens of times. As experience 
was gained, it was decided to group the calculations into mainly 
three groups. 
Firstly it was assumed that there was one single camera used 
throughout the project. Hence all photographs were included 
into the adjustment with one unknown principal distance. 
Approximately 25 known distances provided the necessary 
ground control. Successive minor variations to the data were 
required in order to exclude points giving unacceptably large 
residuals, or even exclude a couple of images, which would not 
fit into the adjusted network. 
The main problem encountered was the resulting reference 
system. As already mentioned, BINGO-F has the ability to 
calculate initial approximations automatically. This is carried 
oout by the module RELAX, which actually assumes that the 
initial reference system is the one defined by the fisrt two 
images in good geometry. If, later, known ground control points 
are fed into the adjustment, this system adjusts itself to the 
desired one. If, however, this is not the case, the initial 
reference system remains unchanged. 
Secondly the images were grouped according to their scale. 
Assuming that the camera was equipped with a zoom lens, it 
was decided to introduce to the adjustment two camera 
constants as unknowns. The point distances provided the 
necessary ground control. 
During the adjustments corrections were made to the initial 
approximation of the camera constants of the two "unknown" 
cameras, in order to achieve a more reliable solution. Again the 
problem of the uncontrolled determination of the co-ordinate 
reference system was a major problem. 
Finally it was decided to carefully choose three points and with 
the help of the corresponding distances assign to them 
rectangular co-ordinates, in order to force the software to 
provide adjusted co-ordinates in that particular system. Seven 
additional points were also used as vertical control, in order to 
ensure the horizontality of the system. In this way the resulting 
system was closer to reality and enabled the easier exploitation 
of the results. 
4.3 Discussion of results 
The most important results of the adjustments are grouped and 
presented in Table 2. 
—361— 
 
	        
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