art B3. Istanbul 2004
Fd
JS scenes covering
e experiments. The
inge from 36.26? to
30? to 127.45? East
is shown in Figure 9,
acquisition data/time
CU
Right scene
NOS scenes
Right
14336
13816.
2001-11-19
02:19 GMT
| acquisition data/time
of the scenes and no
| function coefficients
y were used to derive
points - 162 points in
ansformation was then
| Cartesian coordinate
tested using different
ble 2. The developed
then performed. The
components, adopting
lues of the resulting y-
means and standard
:t space are also listed
2 3
25 162
137 0
3.7 2.9
1.3 1.1
1.6 1.5
)03:0.993 |0.000::0.889
)O0+6.086 |0.000+5.450
510.930 -
75.491 2
rmalization process
nprovement between
can be concluded that
pling according to the
ddition, error standard
are not significantly
refore, the suggested
ughout the resulting
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004
normalized stereopair. In other words, errors ‘far from’ the GCP
are similar to those ‘close to’ the GCP. The resampled scenes
are overlaid to generate a stereo anaglyph (see Figure 10),
which can be stereo-viewed using anaglyph glasses.
Figure 10. Stereo anaglyph of the normalized scenes
6. CONCLUSIONS AND RECOMMENDATIONS
In this paper, parallel projection is chosen to model space-borne
scenes such as IKONOS. The rationale behind selecting this
model is that many space scenes have narrow AFOV and
acquired in very short time. Because the original scenes
conform to the rigorous perspective geometry, scene
coordinates along the scan lines have to be altered in PTP
transformation so that they conform to the parallel projection.
The parallel projection model is discussed together with its
linear and non-linear forms. The former is preferred when GCP
are available while the latter is preferred when navigation data
are available. A modified parallel projection model that
combines the linear form and PTP transformation is presented.
The advantage of this model is that it can be used to indirectly
estimate the required scene parameters using only GCP. Finally,
the epipolar resampling procedure of linear array scanner scenes
is briefly presented, which eliminates y-parallax values and
maintains linear relationship between x-parallax and height
values. Experimental results using IKONOS data showed the
feasibility and success of the epipolar resampling procedure.
Future work will include testing different data such as SPOT
scenes. In addition, direct versus indirect procedures for
epipolar resampling will be compared in terms of the achieved
accuracy. Inclusion of higher order primitives (such as linear
and areal features) and object space constraints to the parallel
projection model will be analyzed. Finally, DEM and ortho-
photos will be generated based on the normalized scenes.
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