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A radiometric calibration has been performed by using a
grey wedge chart; a certain non linearity and a loss of
sensitivity in the dark region have been highlighted. To
assess the influence on the target location by l.s.m., two
tests have been carried out adjusting a block of 4 images
with and without corrections: no significant changes to
object coordinates have been found, therefore no
corrections to g.v. were applied later.
3.2 Geometry
Since our scanner was not equipped with a transparency
module, we could not use glass reseau plates. A simple
reference grid was generated by cutting a reseau with a
spacing of 1 cm on a 12x11 cm area (just larger than the
size of our enlarged pictures) over a stable polyester film.
The coordinates of the crosses were measured on a PK1
Zeiss comparator and, after scanning, by l.m.s. on the
digital image, using an artificial template. The two sets of
coordinates to compare are relative to reference systems
which may differ either in orientation and scale (in two
directions): an affine transformation has therefore been
estimated, assuming as observations the pixel
coordinates. Since the interior orientation will be
performed by using the camera reseau crosses, the
computed transformation parameters will not be used
later. Nonetheless, it is interesting to look at the residuals
of the affine, since they show deformations which will not
be recovered by the transformation in the interior
orientation.
Figure 3 - Residuals of the Y component (along scan)
Figures 2 and 3 show the behaviour of the residuals of
the X (across scan) and Y (along scan) components. It
can be seen that distortions in X component are relatively
uniform in Y direction, with a maximum value of about 3
pixels. Residuals of the Y component on the contrary
show a wavy trend and are less predictable, but also
smaller (up to 1 pixel) than the X component. They may
be due to some irregularities in the movement of the
optical system.
Another problem, occurring only when scanning large
areas at high resolution, was perhaps due to the limits in
memory (either of the scanner's buffer or of the PC's
RAM): in such cases, the scan is completed in several
stages, where the moving stage stops and then restart,
after going back a few centimeters to reach the steady
speed. In this operation losses up to ten rows have been
noticed scanning a pattern of diagonal lines. In order to
cope with this problem, thanks to the limited size of our
images, we simply put them always in the calibrated
area, where, at the selected resolution, the problem didn't
show up.
4. INNER ORIENTATION
The transformation between pixel and image coordinates
of the reseau crosses will partly adsorb the deformations
due to scanning, to shrinkage of the negatives, to the
enlargment and to the shrinkage of the enlarged copies.
As outlined above, in principle we have at hand two sets
of reference values: the results of the geometric
calibration of the scanner and the coordinates of the
camera reseau from the calibration certificate. The
enlarged pictures proved to be sensitive to lack of
orthogonality of the optical axis of the projector's
objective with respect to the stages carrying the original
and the enlarged picture. In order to account for this fact
and to combine both reference sets we opted for a 8
parameter transformation for the inner orientation,
followed by an interpolation of the residuals with a
polynomial function modelling the scan deformation of
the X component (see figure 2) as follows:
= 3 2
u=a,x" + a,x* +a,xy+a,x+ asy+ a
— 3 2
V=b,x" + bx. *b,xy *b,x* bsy * be
The performance of this two stage procedure have been
compared against a simpler one (applying the 8
parameter transformation only) in one of the block
adjustment performed. Taking as performance index
sigma naught and the rms of the residual on check
points, it turned out that the double stage procedure was
slightly worse than the single stage. This may perhaps be
attributed to instability of the scanner, so that the
calibration procedure should be repeated just before
scanning. In the adjustment of all blocks therefore the
simplest procedure has been used.
5. POINT TRANSFER AND TARGET LOCALIZATION
After digitization of the images, a combination of an
automatic and an interactive approach was used to
locate approximately the targets and the reseau crosses
on the images for the subsequent refinement by l.s.
matching.
e Targets were approximately localized in the nadir
image by first applying a smoothing filter followed by
Foerstner's interest operator: with appropriate
211
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996