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Archives of
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antrea Mitra,
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SAR data,
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2241-2247.
/13119.pdf
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| Journal of
1097-1225.
/13072.pdf
nages with a
id SAR data,
p. 110-117.
/13150.pdf
SPOT-5/HRS STEREO IMAGES ORIENTATION
AND AUTOMATED DSM GENERATION
Daniela Poli, Zhang Li, Armin Gruen
Institute of Geodesy and Photogrammetry, ETH Zurich, 8093 Zurich, Switzerland
TS HRS(2) - DEM Generation from SPOT-5 HRS Data
KEY WORDS: SPOT, Pushbroom, Sensor model, Orientation, Matching, DEM
ABSTRACT
HRS (High Resolution Sensor), carried on SPOT-5, is the first high-resolution sensor on the SPOT constellation that enables the
acquisition of stereo images in pushbroom mode from two different directions along the trajectory. The Institute of Geodesy and
Photogrammetry (IGP) participated as Co-Investor in the ISPRS-CNES initiative for the investigation on DEM generation from
SPOT-5/HRS stereoscenes. This paper describes the work carried out at IGP on a stereopair acquired on 1st October 2002 over parts
of Bavaria and Austria.
For orienting HRS imagery, two alternative approaches have been used: a rigorous sensor model and a rational function model. Both
algorithms have been implemented at our Institute. The rigorous sensor model is based on the classical collinearity equations, which
are extended by the sensor external orientation modeling with 2nd order piecewise polynomials depending on time and by self-
calibration parameters. Using well distributed Ground Control Points (GCPs), the unknown internal and external parameters are
estimated with a least squares solution. The alternative method, independent from the camera model, does not describe the physical
imaging process, but uses rational polynomials to relate image and ground coordinates to each other. This algorithm consists of two
steps: 1) calculation of Rational Polynomial Coefficients (RPC) for each image with a least-squares using the geometric information
contained in the metadata files; 2) block adjustment with the computed RPC model using GCPs. Both orientation methods gave
RMS errors in Check Points (CPs) in the range of 1 pixel in all coordinate directions.
Using the triangulated orientation elements, the DSM was extracted with algorithms and software packages for CCD linear sensors
developed at IGP. After the creation of image pyramids, the matches of three kinds of features (feature points, grid points and edges)
on the original images are found progressively in the next levels starting from the low-density features on the images with the lowest
resolution. A triangular irregular network based DSM is constructed from the matched points on each level of the pyramid and used
in turn in the subsequent pyramid level for the approximations and adaptive computation of the matching parameters. A modified
Multi Photo Geometrically Constrained Matching algorithm is employed in order to achieve sub-pixel accuracy for all the matched
[catures. The extracted DSM was compared to the reference DSMs obtained from laser data and map contours at different spacings
(5x5 m, 25x25 m and 50x50 m) provided by DLR in Oberpfaffenhofen using both terrain height and orthogonal distances. The
results show RMS values between one and two pixels on the average and a systematic error mainly due to the presence of trees. After
à manual removal of the main areas covered by trees in the reference DSMs sites those errors have been removed. The final results
show a mean error in the range of 1-5 meters.
1. INTRODUCTION
SPOT-5 was launched on 4" May, 2002 by Arianespace from
the Kourou Space Centre in French Guyana. After completing
two months of in-orbit tests it became fully operational in July
2002.
SPOT-5 belongs to the SPOT (Satellite Pour l'Observation de la
l'erre) constellation developed by CNES (Centre National
D'Etudes Spatiales). The constellation consists of 3 operational
satellites (SPOT-2, SPOT-4 and SPOT-5) flying along a near-
polar, near-circular and Sun-synchronous orbit at a mean
altitude of 832 km, an inclination of 98.7 degrees and a mean
revolution period equal to 101.4 minutes. The SPOT satellites
orbit the same ground track every 26 days with a nominal cycle
of 369 revolutions and cross the equator from North to South at
10:30 a.m. mean local solar time (Gleyzes et al., 2003).
Within the constellation, SPOT-5 is the most innovative
satellite. The new HRG (High Resolution Geometry)
instruments, derived from the HRVIR instrument on SPOT-4
offer high resolution in across-track direction with up to 2.5m
resolution in panchromatic mode. Moreover the new HRS
(High Resolution Sensor) allows the acquisition of stereo
images in along-track direction, using two telescopes pointing
about 20 degrees forward and backward (Gleyzes et al., 2003).
Other payload packages include the same Vegetation instrument
as on SPOT-4, and the DORIS instrument, for greater orbital
accuracy.
The Institute of Geodesy and Photogrammetry (IGP) of ETH
Zurich joined the HRS Scientific Assessment Program (HRS-
SAP), organised by CNES and ISPRS. This initiative,
announced in Denver in 2002 at the ISPRS Commission I
Symposium, has the aim to investigate the potential of SPOT-
5/HRS sensor for DEM generation in order to help CNES to
improve its future Earth Observation systems and all users to
better know and trust the accuracy and quality of the HRS
instrument and the derived DEM (Baudoin et al., 2003).
IGP joined the Initiative as Co-Investigator, that is, it processed
the data provided by one the Principal Investigators, generated
two DEMs with two different orientation methods, compared
them to the reference DEMs and produced a quality report.
In this paper the work carried out at IGP within HRS-SAP is
reported. After the description of the available data, the
processing algorithms applied for images orientation, matching
and DEM generation are presented. The results obtained after
the comparison between the generated DEMs with the reference
ones are reported and analysed. Final comments will conclude
the paper.