Full text: XVIIIth Congress (Part B3)

    
surements. 
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s rate up to 
ion and Lo- 
apping. In: 
ry and Re- 
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asurement. 
Hobbie, D. 
sidelberg. 
Matching - 
metry. In: 
Hobbie, D. 
sruhe. 
Lageerken- 
Heft 11/12, 
uter Orien- 
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grammetry 
ulation. In: 
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2. 
AUTOMATION OF INTERIOR, RELATIVE AND ABSOLUTE ORIENTATION 
Christian Heipke 
Chair for Photogrammetry and Remote Sensing, Technical University Munich 
Federal Republic of Germany 
chris 9 photo.verm.tu-muenchen.de 
Commission III, Working Group III/2 - Invited Paper 
KEY WORDS: Orientation, automation, digital photogrammetry, review 
ABSTRACT 
Considerable progress has been achieved in the automation of image orientation for photogrammetry and remote 
sensing over the last few years. Today, autonomous software modules for interior and relative orientation are 
commercially available in digital photogrammetric workstations (DPWS), and so is automatic aerial triangulation. The 
absolute orientation has been successfully automated for a number of applications. In this paper recent developments 
and the state of the art in automatic image orientation are presented. 
KURZFASSUNG 
In den letzten Jahren sind bei der Automatisierung der Bildorientierung innerhalb von Photogrammetrie und 
Fernerkundung beachtliche Fortschritte erzielt worden. Heute existieren autonome, kommerzielle Softwaremodule 
für die innere und die relative Orientierung als Teil digitaler photogrammetrischer Arbeitsstationen, dasselbe gilt für 
die automatische Aerotriangulation. Die absolute Orientierung ist für eine Reihe von Spezialanwendungen ebenfalls 
automatisiert worden. In diesem Beitrag werden neuere Entwicklungen sowie der Stand der Technik der automa- 
tischen Bildorientierung dargestellt. 
1 INTRODUCTION 
Image orientation is a prerequisite for any task involving 
the computation of three-dimensional coordinates such 
as the generation of a digital terrain model (DTM), the 
computation of orthophotos, and the acquisition of data 
for geographic information systems (GIS). Image orien- 
tation refers to the determination of parameters descri- 
bing specific photogrammetric models for mapping geo- 
metric primitives such as points, lines, and areas from one 
coordinate system to another one. Thus, image orienta- 
tion belongs to the class of coordinate transformation 
problems. Coordinate systems relevant to photogramme- 
try are the object, the model, the image, and the pixel or 
stage coordinate system. Their definition can be found in 
any textbook on photogrammetry and will not be repea- 
ted here. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
Due to its decisive importance image orientation has 
always been a focus of attention in photogrammetry. 
Digital photogrammetry holds the promise of completely 
automating the process of image orientation using image 
processing and image analysis techniques. At least from 
the point of view of users without formal training in 
photogrammetry, image orientation is regarded as rather 
complicated and time consuming. Therefore, it is clear 
that an automatic image orientation module will add to a 
wider use of photogrammetry and remote sensing. If such 
a module is available, image orientation can be conside- 
red as a preprocessing step in the photogrammetric pro- 
cessing chain, somewhat similar to the geometric and 
radiometric calibration of the imaging sensor. It is inter- 
esting to note in this context that in the computer vision 
terminology 'image calibration' sometimes already inclu- 
des image orientation. 
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