Full text: Photogrammetric and remote sensing systems for data processing and analysis

  
Geometric Analysis and Correction of Threefold Stereoscopio 
Linescanner Images for MEOSS Project 
A. Drescher, Poject Scientist 
DFVLR, German Aerospace Establishment 
institute for Optoelectronics 
D-8031 Oberpfaffenhofen, FRG 
Abstract 
MEOSS, an experimental threefold stereoscopic CCD linescan 
camera of DFVLR will be flown by ISRO on her SROSS-satel- 
lite in 1987. : 
The MEOSS camera will sequentially generate three image 
stripes of the earth surface from the same orbit. Orbit and 
attitude variations of the satellite generate correlated 
geometric distortions in those image stripes. 
To correct this distortions DEVLR will apply a distortion 
model based on photogrammetric colinearity equations and a 
parametric formulation of satellite dynamics. 
Principles and procedures that will be applied for-geome- 
tric analysis, correction and evaluation of the threefold 
stereoscopic linescan images are presented. Special empha- 
sis is given on deviations from standard procedures applied 
in airborne photogrammetry, 
Introduction 
MEOSS will be the first 3fold stereoscopic linescanner in 
Space. The basic principle was developed by earlier mission 
proposals STEREOSAT [1], MAPSAT |2| and Stereo-MOMS I3] as 
an optoelectronic alternative to photographic frame 
cameras. 
In the MEOSS camera the three image stripes are generated 
by three parallel linear CCD arrays on the focal plane of a 
single optics. The earth rotation effect is compensated by 
an electronic shift of the active regions of the linear CCD 
arrays and not by yaw control of the camera or the whole 
satellite, Thus tilting of the scanlines with respect to 
the orbital axis can be avoided fig. 4. 
Apparently it is very demanding to ensure geometric fideli- 
ty for stereoscopic linescan images by active attitude con- 
trol of a satellite (STEREOSAT |4|, MAPSAT |5|). Following 
a suggestion first formulated by Dr. O. Hofmann of MBB for 
Stereo MOMS, ISRO and DFVLR will concentrate their efforts 
not on the avoidance of geometric image distortions, but on 
their proper analysis and correction. 
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