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Figure 1. HRS-SPOTS stereo-pair on test site Manosque, France
This means that it describes approximately only 595 of the area
covered by the stereo-pair (Fig. 2). The reference DEM has a 25
m grid spacing and Z accuracy better than 1m. Neither GCPs
nor any kind of digital map were available. The software Leica
Photogrammetry Suite was been utilized for the processing of
the stereoscopic images.
Figure. 2. The area of the reference DEM in the frame related
to the test area DEM
2.2 Procedure
In this project many different DEM generation experiments
have been carried out in order to examine the influence of
different parameters and methods of processing to the final
accuracy of the produced DEM. Eight (8) different approaches
are presented here (table 1).
The first criterion that has been examined was the radiometry of
the stereo pair. The simultaneous acquisition of both images
provides the radiometric resemblance of the images, in order to
facilitate the automatic correlation process. Because the fact
that the images are captured by two different sensors has led us
to apply the histogram matching technique for image pre-
processing, in some experiments.
Sensing and Spatial Information Sciences, Vol XXXV, Part B1. Istanbul 2004
Thus, 4 solutions concern a DEM generation from the original
data (DEM1, DEM3, DEMS, DEM7) and 4 solutions (DEM2,
DEM4, DEM6, DEMS) concern the generation of a DEM after
an applied histogram matching technique.
The second basic advantage of the HRS SPOT-5 images is that
is possible to know, with absolute precision, the location of
them. The information included in the metadata-ephemeris data
leads automatically in the generation of a DEM, without the
need of GPC’s. In this study, except this basic solution, other
experiments have been carried out as well. These tests concern
“semiautomatic” solutions in which a triangulation technique
with automatic or semiautomatic methods of tie points
determination have been applied before the generation of the
DEM. Thus, the georeferencing and the stereo model set-up of
the images was established in four different ways:
a. By using only the metadata (solutions DEM 1, DEM2).
b. After the use of the metadata, a triangulation was performed
without any GCP. The tie points have been generated
automatically (solutions DEM3, DEM4).
c. The same as the above b solution but in the triangulation
process 6 GCPs (XYZ coordinates) were used. For the
extraction of the GCPs an additional procedure has been
performed, which consisted basically of the production of an
orthoimage based on the reference DEM. Draping the rectified
image over the reference DEM, 6 GCPs, in a stereoscopic way,
were collected for the triangulation procedure. (solutions
DEMS, DEMO).
d. The same as the above b solution but for the triangulation
process except the automatically generated tie points, some tie
points derived manually, in a stereoscopic way, has been used
as well; the latest were points situated in critical positions such
as in the steepest and the highest areas (solutions DEM7,
DEMS).
The results of the different experiments are represented in the
table 1. The characteristics of the different experiments are
interpreted below:
No his: no histogram matching applied