SEMI-AUTOMATIC DERIVATION OF DIGITAL. ELEVATION MODELS FROM
STEREOSCOPIC 3-LINE SCANNER DATA
M. Lehner (+),
R.S. Gill (+ +)
( +) Deutsche Forschungsanstalt für Lu. und Raumfahrt (DLR), Oberpfaffenhofen
(+ +) Computer Anwendung für Management GmbH (CAM), München
ABSTRACT
DLR is engaged in several stereo scanner projects
(MEOSS on Indian Remote Sensing mission IRS-1E,
MOMS-02 on German shuttle mission D2, HRSC and
WAOSS cameras on Russian Mars mission). Besides
fabricating the flight hardware for MEOSS camera DLR
developed a software package for the evaluation of
stereoscopic scanner data consisting of the following
main subsystems:
Image matching software for automatically locating
large numbers of conjugate points in 3-line stereo
scanner imagery. It is based on areal matching in
image pyramids and subsequent local least squares
matching for subpixel positioning.
Photogrammetric adjustment software is used to derive
digital elevation models and exterior orientation
parameters. This combined point determination soft-
ware is mainly based on collinearity equations for con-
jugate and ground control points. Further it allows for
the constraining of tne exterior orientation of the cam-
era by given flight path and attitude data and by GauB-
Markov statistical processes.
The paper reports on the successful application of the
software to airborne data taken with the satellite model
of the MEOSS camera, including a comparison to an
already existing DEM. Empirical and theoretical errors
are given for various numbers of ground control points.
Keywords: 3-line stereo scanners, image matching,
photogrammetry, digital elevation models
1. Introduction
DLR is engaged in stereo line scanner cameras since
1981, when the DLR Institute of Optoelectronics pro-
posed to participate with a 3-line stereo camera
(MEOSS: Monocular Electro-Optical Stereo Scanner) in
an Indian satellite mission «Ref. 17. Parallel to the
manufacturing of the hardware, work on data analysis
started with simulation of triple stereoscopic imagery,
establishing image matching software and testing the
photogrammetric adjustment process via simulation
« Ref. 2-47 . Since 1986 an airborne model of the cam-
era was available. This was the first time thai a digital
elevation model could be derived from such imagery
« Ref. 5,7 7». MEOSS is now scheduled for a flight on
Indian satellite mission IRS-1E end of 1992. Airborne
test data of the satellite flight model have been evalu-
ated for this paper.
68
In contrast to MEOSS which is a single optics system,
the stereo scanner MOMS-02 (Modular Optoelectronic
Multispectral Scanner) being built by the German com-
pany Messerschmitt-Bólkow-Blohm (MBB) uses various
optics of different focal lengths to take multispectral
and stereoscopic images of the earth. This offers the
possibility to derive digital elevation models and multi-
spectral orthophotos of fine resolution for GIS-like
applications. A description of the MOMS-02 scanner
system can be found in <Ref. 6 >. This scanner wili be
part of the payload of the German mission D2 now
scheduled for a spaceshuttle flight in January 1993.
One aim of the MOMS project is the development of a
stereoscopic digital photogrammetric workstation in
cooperation with several universities.
Other stereo scanner projects at DLR are the Mars-
94/96 WAOSS and HRSC cameras <Ref. 11,12>.
WAOSS (Wide-Angle Optoelectronic Stereo Scanner) is
meant for global monitoring of Mars (pixel size on
ground 150 m near periapsis) and for the derivation of
global topography of Mars whereas HRSC (High Resol-
ution Stereo Camera, 10-20 m pixel size) will allow the
derivation of fine-grid digital elevation models together
with orthophotos in several spectral channels. Both
cameras are - like MEOSS - monocular instruments.
The derivation of digital elevation models from 3-line
stereo scanner imagery consists of two main tasks:
9 extraction of a large number of conjugate points
from the stereoscopic imagery (image matching)
and
. reconstruction of exterior orientation and calcu-
lation of the ground coordinates of the conjugate
points via photogrammetric adjustment (combined
point determination).
The location of conjugate points in triple stereoscopic
line scanner imagery can be divided into the following
steps:
* selection of patterns suitable for digital image cor-
relation in the sense of an interest operator (the
well-known Fórstner operator is used)
* selection of search windows corresponding to
these patterns in the images of the other looking
directions
e. digital image correlation (area based matching) to
locate the pattern within the search area: image
matching on pixel level
. subpixel refinement of the correlation result (done
here by local least squares matching technique).
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