Paper
23 August 1995 Automatic DTM generation from MOMS-O2/D2 mode 1 data
Dieter Fritsch, Michael Hahn, Franz Schneider
Author Affiliations +
Abstract
The Digital Terrain Model (DTM) is one of the most elementary and important products of processing stereo image data. The 3D shape of the imaged scene is the basis for topographic mapping, orthophoto generation, geocoding multispectral image data, etc. An automatic procedure for generating DTM's from three-line imagery is under development since several years. The main features of the algorithm are feature based matching of points and edges extracted in all three channels, consistency checks in image and object space using the known orientation of the image strips, finite element modelling for surface representation and a coarse-to-fine directed processing strategy which controls the overall processing steps. As an option intensity based least squares matching is added if a most precise DTM is required. In this paper the procedure is described in detail. Processing scenes of Andes orbit 115 and Australia orbit 75B of MOMs-02/D2 mission shows that the procedure is successful even in mountainous terrain as well as in low texture scenes. Matching the three pan-chromatic stereo channels is done fast and reliable. The experimentally found height accuracy of 3D points determined by error propagation is about 10 - 15 m. This accuracy level is confirmed for the Australia scene by independent check measurements using DGPS.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dieter Fritsch, Michael Hahn, and Franz Schneider "Automatic DTM generation from MOMS-O2/D2 mode 1 data", Proc. SPIE 2572, Remote Sensing and Reconstruction for Three-Dimensional Objects and Scenes, (23 August 1995); https://doi.org/10.1117/12.216940
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Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Data modeling

Image resolution

3D modeling

Cameras

Finite element methods

Multispectral imaging

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