Full text: XVIIIth Congress (Part B3)

   
  
  
    
  
   
  
  
   
   
    
  
  
   
   
   
  
   
     
  
   
   
   
   
   
   
  
   
   
   
   
  
   
   
  
   
   
  
   
    
  
  
  
   
  
   
     
   
    
  
   
    
  
   
   
  
    
      
constrained 
om stereo—a - 
nd Cybernet- 
mage match- 
using aerial 
, Jr., editors, 
Scene Ana- 
do, FL, April 
ystem. Inter- 
note Sensing, 
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t of Geodetic 
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alues as un- 
g. Submitted 
atching tech- 
etry and Re- 
rated aerotri- 
SPRS Annual 
ns, LA, 1993. 
ation and res- 
Photogram- 
. In Press. 
e reconstruc- 
togrammetry 
An Integral Approach to Automatic Aerial Triangulation and Automatic DEM 
Generation 
Krzystek P., Heuchel T., Hirt U., Petran, F. 
INPHO GmbH, Stuttgart 
email: inpho@inpho.de 
Commision III, Working Group 1II/2 
KEY WORDS: Automatic aerial triangulation, automatic DEM generation, multiple image matching 
ABSTRACT: 
Automatic aerial triangulation will push the economical efficiency of digital photogrammetry to a new level since the 
time consuming block preparation is avoided and costly interactive input is substantially reduced. Automatic aerial 
triangulation appears as a turnkey method if it is combined with an integrated DEM generation process, which takes 
full advantage of the multiple image overlap instead of the standard stereo overlap. 
The paper presents a new approach to automatic aerial triangulation that comprises the automatic derivation of tie 
point areas (7 Gruber point positions) and a hierarchical matching of tie point clusters as well. The kernel of the 
system is an integrated bundle solution which robustly matches feature points in multiple images and estimates 
orientation parameters simultaneously. The approach comprises point selection, point measurement, point transfer 
and block adjustment in one process. DEMs are generate 
d either locally in the tie point areas or for the entire block 
rigorously using the multiple image overlap wherever possible. 
The paper outlines the approach for automatic aerial triangulation and reports on practical results assessed in several 
controlled tests. The examples given include the initialization part of the system and the automatic block adjustment 
as well. The results for 30 um pixel size indicate that the approach leads to excellent results in the block adjustment, 
which meet at least the accuracy requirements of a standard aerial triangulation. The computation time of the entire 
automatic block adjustment is better than 6 minutes per image. The benefit of the integrated DEM generation is 
demonstrated with the OEEPE FORSSA test block by comparing the results of the block DEM against the theoretical 
results of the automatic block adjustment. Preliminary results indicate a DEM accuracy of 0.1 %o of the flying height. 
1. Introduction 
Digital photogrammetry is on the way to reach a new 
level of economical efficiency because of an ongoing 
improvement of digital systems towards a higher level of 
automation, accuracy and product quality. System 
providers make great efforts to embed fully automatic 
procedures on their digital systems in combination with 
powerful editing and visualization techniques. Automatic 
DEM generation, orthophoto production, and the 
automation of the interior and the relative orientation 
have meanwhile become a kind of a standard of today's 
digital systems. Automatic aerial triangulation in 
particular is subject to rapid practical development, since 
it is one of the keys to the economical breakthrough of 
digital photogrammetry. It is undoubted, once the aerial 
triangulation has successfully reached an automatic level 
in a digital production environment, that project costs will 
be significantly reduced. 
Several approaches have been suggested from the 
scientific community and from some system providers as 
well. We have to mention the important developments of 
Toni Schenk's group at the Ohio State University 
(Schenk, Toth, 1993; Toth, Krupnik, 1994;Schenk, 1995) 
and the solutions of the Stuttgart University (Ackermann, 
Tsingas, 1994; Fritsch, 1995) Mayr (1995) and 
DeVenecia et. al. (1996) are reporting about commercial 
systems with high automation level. The related 
approaches differ quite significantly in detail, mainly with 
respect to the matching strategy. However, they all have 
in common, that they are intended to operate fully 
automatically. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
The subject of this paper is an approach to automatic 
aerial triangulation which is currently carried out at 
INPHO company as a software development (MATCH- 
AT). It was presented in its key ideas in Krzystek et. al. 
(1995). Heuchel et. al. (1996) reports very recently about 
first practical results. The approach provides tie point 
clusters by means of the feature-based matching 
technique. The images of a block are orientated 
simultaneously with the help of an integrated bundle 
adjustment that robustly gets rid of mismatches. The 
geometric matching criterion becomes the ray 
intersection at homologous points instead of the widely 
used affine transformation. The approach comprises the 
point selection, point measurement, point transfer and 
the block adjustment in one single process. 
In addition, a DEM is created either locally at the tie point 
areas or for the entire block area. The concept of an 
integrated DEM generation is particularly important. As 
far as the automation of the aerial triangulation is 
concerned, it helps to principally overcome the problem 
of relief displacement in the initialization part in case of 
large scales and hilly or mountainous terrain. 
Furthermore, the matching of image patches is more 
effective, if the terrain surface is considered by an 
appropriate resampling. Once a DEM generation has 
been integrated in such a system, it is very easy to derive 
a DEM for the entire block. Such a DEM has the benefit 
of high quality and accuracy since the multiple image 
overlap is rigorously used wherever possible. It should be 
recalled that in a normal block with 60 96 end lap and 20 
96 side lap only about 25 96 of the image area is covered 
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