ı ıternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004
A LX
À X / \ NA, : / VON \
E. FAY i WL |
X { | X fi i
\ / \ \ ; A \ À
\// \ f Vh
\/ Y M \
\ \ J \
red = W. Kornus DEM purple = P. Reinartz DEM
Si 3 7 ™
í X / NA e f E
Au NU T Sees IV i
SEA A / M f \ 4 A Nj Y
L VN V \ i4 V n / i
\ A \ A
\ / NAM
\ 7 \ \ ^ t
V \ V S x
\ \
pink = H. Raggam global DEM blue = H. R. local HRS DEM
^-^
^ j
^ A ft Y
FX /
/ M Xs / \
\ AJ V \
\ i
green = H.R. local HRG/HRS DEM
Fig 22: Comparison of DEM profiles with the Reference (in
black)
The profiles confirm the DEM visualisation, the W. Kornus
DEM and the H. Raggam DEM (HRG/HRS) are very close to
the reference. P. Reinartz DEM follows more or less the
relief but is a bit smooth and the two last ones (H. Raggam
global and Hrs DEM) are at the same time very smooth and
locally very noisy.
All the results depend on the production processing;
altimetric biases can be explained by error of modelisation,
altimetric restitution defects by mismatching processing and
eventual post-treatment (to fill the matching holes or to
smooth the automatic results).
The conclusion of this first part is that the production of
DEM using HRS data can be very efficient, but the quality
and the accuracy of the DEM depend on the production
process and on the kind of DEM which is expected.
3. TS9: BAVARIA (GERMANY)
3.1 Input Data
Location: 12°03'-12°45' E / 47°42'-48°30' N
Elevation range: 0—1830m
HRS data:
ID scene Year | Month Day
50622520210011018441S 02 10 01
50622520210011020162S 02 10 01
50622530210011018521S 02 10 01
506225302100110202428 02 10 01
Table 23: HRS data on Bavaria
Reference data:
Reference data has been provided by the Principal
Investigator, Dr. Peter Reinartz (DLR, Germany) and is
composed of the following DEMs (Fig 24)
In North area :
DEM "Coarser" N 50, size about 601 x 1001 pixels,
spacing: 50 m, accuracy: about 2m
In South area :
DEM "Laser" S 5 1/4, Nb: 4, size about 1001 x 1001
pixels, spacing: 5 m, accuracy: better than 0,5 m
DEM "Laser" S 25 2, size: 348 x 401 pixels, spacing:
25 m, accuracy: better than 0,5 m
DEM "map" S 25 1, size about 53 x 401 pixels,
spacing: 25 m, accuracy: 5 m
GCP Nb: 81
(w ith re contours)
Fig 24: Reference
3.2 output DTM:
All the seven following investigators on this test site have
produced DEM's:
- PI: Peter Reinartz (DLR, Germany)
- Colli: Daniela Poli (Institute of Geodesy and
Photogrammetry, Swiss Federal Institute of Technology,
ETH Zurich, Switzerland)
- Col-2: Karsten Jacobsen (Institute of Photogrammetry
and Geolnformation, University of Hannover, Germany)
- Col-3: Jorge Torres (Division de Fisica Aplicada,
CICESE, Mexico)
- Col-4: Romuald Kaczynski (Institute of Geodesy and
Cartography, Poland)
- . Col-5: Alexander Suchkov (Geoinformation Agency —
Innoter, Russia)
- Col-6: Konstantin Eremeev (Geo-Nadir, Russia)
As we had some problems to decipher J. Torres and K.
Eremeev DEM, we won't give any results from their work
even if they had also interesting results describe in their paper
(Eremeev K., 2004, Torres J., 2004).
The remaining five investigator DEMs have been analyzed as
mentioned in table 25.
Inter
In s
kind
mod
(Pol
and
2004
AS
sam]
fine:
samt
the :
area:
also
area
3.3¢
All 1
for ¢
refer
diffe
341
3.4.1
spac
360
We
rece
20m
so it