2.2.3 Calibration: As control points a sufficient number of well
recognisable object points were measured with the totalstation
Leica TCRA 1101. The experience shows in this case, that the
accuracy of the determination of the coordinates is about
<= +/- 1 cm.
The self calibrating triangulation could be carried out with
Erdas Orthobase. After some few point measurements (the
control points were measured in each image) some 20
additionally tie points could be generated automatically.
With the additional information of some initial values for the
exterior orientation the triangulation could be calculated. The
calibration of the camera was calculated with the parameters et
of D.C. Brown. The further evaluation showed that the
parameter for the radial-symmetrical distortion conveyed
already sufficiently precise results.
Property Value S.D.
Focal length 20.373 mm +0.0261 mm
Principal point x0 0.073 mm +0.0167 mm
Principal point yO 0.086 mm +0.0220 mm
Figure 5:. Results of calibration with radial distortion graph
With this equipment, the camera positions practically possible
and with the choice of control points (natural object points) it is
to be accepted that a further accuracy increase can only be
achieved through additional, considerable expenditure.
3. IMAGE MAPS
3.1 Basics
The demand of the image maps was dependent of the different
types of buildings. There were differences between the islamic
installations and the ancient structures.
For the islamic installations the image scale was fixed at 1: 50.
Important was a safe and quick documentation before the
dismantling during the excavation. The view of the objects was
taken by digital photos with less laps. The geometric
information was given by geodetic measurement.
For the ancient structure the picture scale was fixed at 1: 10 or
1:20 and a high degree of geometric accuracy was required. To
structure the documentation work the temple was divided in
sections. After the complete excavation of a section the
photogrammetric documentation was started. Stereo-photos for
3D processing were taken and evaluated. The geometric
information was given by geodetically measured points and by
photogrammetrically determined tiepoints To visualise the
surface structure in small-scale, detail-photos were projected
onto the large-scale image maps.
3.2 Software
For rectification different software-products were available.
Erdas Imagine
Erdas Imagine Orthobase Pro
Eddi 2D (Fokus GmbH Leipzig)
For further procedures of image enhancement the Software
Adobe Photoshop 6.0 was used.
3.3 Rectification with Eddi 2D
With the simply operable software Eddi 2D the images were
rectified by a projective transformation onto a given plane. This
projection plane can be determined through the choice of two
typical control points which were measured on the object
surface.
The use of this software was sufficient for the rectification of
single images that do not have to be stitched together to an
image plan. Overview displays and images in a specific scale as
a basis for drawings could be produced easily.
After a short training period the architects could carry out the
equalisations autonomously.
3.4 Orthorectification with Orthobase
Orthobase from Erdas is a photogrammetric triangulation tool
for the orientation of any type of image. Depending on the input
data provided, photogrammetric techniques such as space
resection, space forward resection, and a bundle block
adjustment with self calibration are used to define the variables
required to perform orthorectification, automated digital surface
model extraction, stereopair creation, highly accurate point
determination, and control point extension.
3,5 Practical evaluations on the example of a typical facade
The stereophotos had a photographic scale of 1:450 and were
taken with the Fuji Fine Pix with the image resolution of
2304*1536 Pixel. This resulted in a object coverage of 4.5 mm
for each pixel in the imagery. The distance was about 9 m, the
focal length 20 mm. Six control points were measured with an
accuracy of about 1-2cm, depending on the chosen natural“
object points.
The GCP's were measured in the images manually, and the
triangulation result gave a first estimate of the exterior
orientation. With the capability of tie point collection — based
on the initial exterior orientation, a needed amount of tie points
were automatically identified and measured.
Figure 6: Overview of automatic tiepoint collection
The following table lists the result of the triangulation process
on the basis of the standard deviation of unit weight. The
standard error is calculated based on residuals computed for the
estimated and adjusted observations.
—376—
For the
product
product
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the helr
For the
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points)
deviatic
error W
shadow
with Er
With t
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comp:
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