M
International Archives of the Photogrammetry, Remote Sensing
and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004
Figure 2a. Image ITAI-el 123941.1B
(©2000-2004 IPT Informatica Per il Territorio srl.
©2000-2004 ISI Imagesat International Ltd)
2.3 The QuickBird imagery
The orthorectification of a panchromatic QuickBird (Basic
roduct) image using the terrain data provided by the EROS
liscussed in the next sections. The dataset,
libration, was acquired on Sept. 29,
p
stereo-pair will be c
corrected by the internal ce
2002 (10:16 a.m) with a significant off-nadir angle (20.8
The image swath is 16.5x16.5 km, the nominal spatial
degree).
resolution 0,61m and a significant cloud coverage (16%)
partially compromises its quality.
2.4 Ground Control Points (GCPs) and CheckPoints (CPs)
collection
A large set of points (57) have been surveyed through a
differential GPS survey (see figure 3). A subset of the whole
dataset will be used for geocoding the QuickBird image
(GroundControlPoints), the remaining for validating the final
accuracy achieved (Indipendent CheckPoints).
For the DSM extraction from the stereo pair the control points
for geocoding each image have been derived from 1:5000 maps.
In Figure 3 the red dots represent the distribution of GPS
surveyed points, while the white rectangle illustrates
approximately the limits of the EROS scenes.
3. DSM EXTRACTION
For both processes of DSM extraction and QuickBird image
ication PCI Geomatica Orthoengine v9.1 software
d. It implements a rigorous model for EROS and
and a Rational Function Model for
orthorectif
has been use
QuickBird images
orthorectification of QuickBird images.
In order to correct geometrical distorsions of the EROS images
and produce a DSM, the software uses a 3D physical (rigorous)
model based on collinearity equations and complanarity
equations for the stereo-model computation. Though the EROS
model is designed for 1A images, we imported 1B images as
generic files with average parameters derived from metadata.
The DSM extraction procedure allows the generation of relative
or absolute DSM. The first does not require ground control
collected from maps), but tie-pointing
between the pair allows to obtain a model of elevation not tied
to a cartographic reference system. Conversely, when an
absolute (geocoded) elevation model had to be sought, a certain
number of GCPs are needed.
points (surveyed or
Figure 2b. Image ITAT-el 123943.1B
(©2000-2004 IPT Informatica Per il Territorio srl.
(92000-2004 ISI Imagesat International Ltd)
As the results of the present work have to be related to a
national grid, the National Gauss-Boaga Reference System, the
DSM has to be geocoded through ground true.
First step of the DSM generation is the collection of GCPs over
the two images. In this work 16 GCPs (collected from 1:5000
maps) for each image have been used.
Figure 3. QuickBird image illustrating the point dataset
acquired with the DGPS survey and, in the white rectangle, the
EROS image limits
enly distributed over the scene and cover all of the
elevation range of the relieves. The availability of tie points
recognizable over both images is also useful for the DSM
extraction procedure because they improve the matching
(stereo-correlation) between the two images.
3CPs the geometric model is computed for both
arately with a rigorous and specific model and the
ast square adjustment
They are ev
Through
images sep
stereo model geometry is refined with a le
process.
As soon as the matching is performed, a quasi-epipolar
geometry for the stereo-pair has to be created. Using epipolar
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