International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B1. Istanbul 2004
A digital model of the elevation of the visible surface, known as
a Digital Surface Model (DSM), can be generated from satellite
images through the use of automatic image matching.
However, a digital model of the elevation of the bare earth, or
DEM, is what is usually requested. In some cases and
depending upon the applications and accuracy requirements, a
manual reduction of a DSM to a DEM is too time consuming,
but this step can also be done automatically by qualified
filtering (Jacobsen 2001). A sequence of geometric tests can be
used to detect and remove the points located above the bare
earth. The model is classified as flat, rolling or mountainous
and the required tolerance limits are determined by data
analysis (Figure 4).
When doing automatic image matching with high resolution
space images it is important to have images acquired under
similar conditions — similar sun elevation and atmospheric
conditions, and no change of the object. This is best achieved
using images acquired during a single orbit. If this is not the
case, problems with automatic image matching cannot be
avoided, and matching may fail entirely. The DSM shown in
figure 5 is based on IKONOS images acquired 12 seconds
apart. Most of the points have been correlated with a correlation
coefficient exceeding 0.95. On the other hand, matching of an
IKONOS image pair acquired three months apart with a change
of sun elevation from 67° to 42° failed nearly entirely. Some
modestly accurate results were obtained in built-up areas. A
time interval as short as 12 seconds is not usually necessary, so
two QuickBird images acquired 10 days apart produced good
results.
6. CONCLUSIONS
Mapping with high resolution space images is becoming more
and more important. For several applications there is direct
competition between aerial and space images, and the choice of
which product to use is purely economic. Satellite triangulation
is integrated in the Z/I ImageStation application suite, allowing
individual images or blocks of images to be rectified. By
processing blocks, the number of ground control points can be
reduced and misalignments between neighboring images will
be avoided.
REFERENCES
Büyüksalih, G., Oruc, M., Jacobsen, K., 2004. Precise
Georeferencing of Rectified High Resolution Space Images,
ISPRS Congress, Istanbul 2004
Dowman, I, Dolloff, J.T., 2000. An Evaluation of Rational
Functions for Photogrammetric Restitution, ISPRS Amsterdam
2000, IAPRS, VOL XXXIII
Fraser, C.S., Hanley, H.B. and T. Yamakawa, 2001. Sub-
metre geopositioning with Ikonos GEO imagery. Proc. Joint
ISPRS Workshop “High Resolution Mapping from Space
2001”, Hanover, 19-21 September, 8p. (on CD ROM)
Grodecki, J., 2001. Ikonos stereo feature extraction - RPC
approach. Proc. ASPRS Annual Confereñce, St. Louis, 23-27
April, 7 p. (on CD ROM)
Jacobsen, K. 2001. New Developments in Digital Elevation
Modeling. Geoinformatics, June 2001, pp 18 — 21
152
Madani, M, 1999. Direct Versus Indirect Methods of Sensor
Orientation, workshop of ISPRS Commission III, Barcelona,
November 25-26, 1999, (on CD-ROM)
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