Global bundle adjustment with variable orientation point distance for precise mars express orbit reconstruction

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Bostelmann, J.; Heipke, C.: Global bundle adjustment with variable orientation point distance for precise mars express orbit reconstruction. In: Halounova, I. et al. (Eds.): XXIII ISPRS Congress, Commission IV. Katlenburg-Lindau : Copernicus Publications, 2016 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 41-B4), S. 361-368. DOI:

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Sum total of downloads: 115

The photogrammetric bundle adjustment of line scanner image data requires a precise description of the time-dependent image orientation. For this task exterior orientation parameters of discrete points are used to model position and viewing direction of a camera trajectory via polynomials. This paper investigates the influence of the distance between these orientation points on the quality of trajectory modeling. A new method adapts the distance along the trajectory to the available image information. Compared to a constant distance as used previously, a better reconstruction of the exterior orientation is possible, especially when image quality changes within a strip. In our research we use image strips of the High Resolution Stereo Camera (HRSC), taken to map the Martian surface. Several experiments on the global image data set have been carried out to investigate how the bundle adjustment improves the image orientation, if the new method is employed. For evaluation the forward intersection errors of 3D points derived from HRSC images, as well as their remaining height differences to the MOLA DTM are used. In 13.5 % (515 of 3,828) of the image strips, taken during this ongoing mission over the last 12 years, high frequency image distortions were found. Bundle adjustment with a constant orientation point distance was able to reconstruct the orbit in 239 (46.4 %) cases. A variable orientation point distance increased this number to 507 (98.6 %).
License of this version: CC BY 3.0 Unported
Document Type: bookPart
Publishing status: publishedVersion
Issue Date: 2016
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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1 image of flag of Germany Germany 82 71.30%
2 image of flag of United States United States 6 5.22%
3 image of flag of China China 5 4.35%
4 image of flag of Belgium Belgium 3 2.61%
5 image of flag of Vietnam Vietnam 2 1.74%
6 image of flag of Ukraine Ukraine 2 1.74%
7 image of flag of Nepal Nepal 2 1.74%
8 image of flag of Korea, Republic of Korea, Republic of 2 1.74%
9 image of flag of Russian Federation Russian Federation 1 0.87%
10 image of flag of Philippines Philippines 1 0.87%
    other countries 9 7.83%

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