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where n(x,y) is a noise and a, through a, are
unknown coefficients. The unknown parameters are
determined so as to minimize X n(x,y)*. Eq. 1)
does not include the correction to intensity level
difference between L(x,y) and R(X, YD. Its
removed before correlation by local averaging the
pixel values over the correlation area. Sub-pixe]
values of R(X,Y) are interpolated for differentia-
tion by the 1-D bi-linear spline (Press,1992).
We judged the precision by residual y-parallaxes.
A pair of aerial film (1:10,000 scale) was scanned
with a scanner, VEXCEL VX3000PLUS, with the pixel
size of 25um*x25um. This scanner was also used for
measurement of ground displacement (see Section
4). The film distortion was assumed negligible. We
picked up 53 orientation points at strong edges
on flat places like traffic marks on roads
uniformly over the overlapped area. With eye
observation on the original scale images, the
residual y-parallax(rms) was 0.68 pixel, and on
the four times enlarged images it was 0.40 pixel.
This was assumed the best, because on more
enlarged images, y-parallaxes got large. Table 2
shows the residual y-parallaxes for some
measurement conditions.
5x5 and 11*11
precision).
Tested pixel sizes were
(larger ones gave the same
Besides eq.(1) also tested the form
xta,
X
Pra e
The best result was obtained for eq.(1) with the
window size of 11 pixels. According to the error
propagation theorem, 0.4 pixel y-parallax(rms)
corresponds to 0.4/1.414=1/3 pixel error in image
coordinates. It should be noted this best
precision is the same as the best obtained by the
eye observation.
3.2 Modified LSC
The convergence domain with the LSC is usually one
pixel. GOKUU extends it by the following way.
(1) Edges are extracted from the left image by LoG
filtering. The LoG filter is defined as
Véexp(-(x?*«y?)/20) (3)
where c is a scale parameter. It is set to 2,
which scales the filter with an influence area of
t5pixels. The filtering produces countless small
edges. Then corners are extracted by the following
algorithm (see Fig.6):
1f( not less than 3 edges are found in 8 pixels
around pixel 0) O is a corner; /*Fig.(a)x/
else if ( the edge passing through O is a straight
line) /*Fig.(b) */
else (
O is not a corner;
if( not less than 3 edges in 8 pixels around A or
B) O is a corner; /*Flg.(c) */
149
else if ( /COD «z135c ) O is a corner;/*Fig.(d)x/
else O is not a corner;
)
Then the Sobel filter (Iannino,1979), a differen-
tiation filter with a light smoothing, is applied
to the area. This filter produces the intensity
gradient at every pixel. In 11x11 pixels around
the approximated corner point, the corner with the
maximum intensity is picked up as an orientation
point. By conventional correlation this
orientation point is matched to the right image up
to one pixel, then the LSC is applied. If the
terrain is flat in a 21x21 pixel area, convergency
is almost assured in a 11x11 pixel area.
4. THE MEASUREMENT OF GROUND DISPLACEMENT IN THE
KOBE EARTHQUAKE
4.1 Aerial Photographs and Control Surveys
We selected Ashiya-city as a pilot area, which is
as wide as 2-3 km east to west and 8-9km north to
south. It faces the Seto Inland Sea in the south
where reclaimed land spreads.
Table 2 shows the data on the aerial photographs,
GCPs and the result of aerial triangulation used
for the measurement work. One set of the
photographs were taken before the earthquake (
hereafter pre-photos) and the other taken after
that ( post-photos). The city is covered with
about 50 models for each set of photographs. The
scales of the photographs are 1:40,000 and Y:
40,000-1:50,000 respectively. There is a gap of
three years in two flights, and the flight
directions differ by 90 degrees. These make the
identification of the same points less easy.
The flight for pre-photos was for a map production
for the sewerage management. The ground control
survey was done by triangular and traverse
surveying, with the estimated precision of 3cm (in
planimetry) and 1cm (in height). The direct
levelling was also conducted, with the-estimated
precision of 1cm.
The control survey for the post-photos was
conducted in September, 1995 by GPS surveying. The
measurements were adjusted with Trimnet (Trimble
Corp.). The precision is estimated to be 3cm (in
planimetry) and 1cm (in height).
4.2 Aerial Triangulation
Aerial triangulation was executed by GOKUU. Table
3 includes the results. The standard deviations of
errors image points
were assumed 7um for both pre- and post-photos.
in observed coordinates of
The horizontal error of supplementary GCPs was 5cm
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996