Mars Express HRSC Data Processing - Methods and Operational Aspects

By F. Scholten, K. Gwinner, T. Roatsch, K. Matz, M. Wählisch, Bernd Giese, J. Oberst, Ralf Jaumann, Gerhard Neukum, Hrsc Co-I-Team. 2005

157 citations recorded by the source corpus.

Automated procedures for ground processing of Mars Express HRSC data have been developed and are applied systematically immediately after download in order to provide calibrated data sets as well as photogrammetric image and 3D data products within a short time frame. Multi-spectral orthoimages in scales of 10 - 50 m/pixel and digital terrain models of 200 m raster width are generated within days even for large orbits covering areas of several hundred thousand square kilometers. An even higher image resolution of up to 2.3 m/pixel provided by HRSC's Super Resolution Channel (SRC) extends the potential of the HRSC camera experiment.

Subfields: Aerospace Engineering, Astronomy and Astrophysics, Geology

View Paper: https://www.semanticscholar.org/paper/b7fe4fb1fb29d89d629ec26e42a8d01b3378ea0f

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In Aerospace Engineering

In Astronomy and Astrophysics

Citations in the corpus

Hydrovolcanic tuff rings and cones as indicators for phreatomagmatic explosive eruptions on Mars (2013, methodology): “HRSC DEM are interpolated from 3D points with an average intersection error of 12.6m and have a regular grid spacing of 50 to 100m [Scholten et al., 2005; Gwinner et al., 2009].”
The High Resolution Stereo Camera (HRSC) of Mars Express and its approach to science analysis and mapping for Mars and its satellites (2016, methodology): “…(e.g. Ebner et al., 1996; Wewel et al., 2000; Gwinner et al., 2000) and during the early mission phases, using the first data of Mars Express HRSC (Ebner et al., 2004; Scholten et al., 2005; Kirk et al., 2006; Jaumann, 2007; Heipke et al., 2004, 2007; Spiegel, 2007a, 2007b; Gwinner et al., 2009).”
Shape model, reference system definition, and cartographic mapping standards for comet 67P/Churyumov-Gerasimenko Stereo-photogrammetric analysis of Rosetta/OSIRIS image data (2015, methodology): “…in the 1990s), SPG was successfully applied to many other planetary image datasets to retrieve local, regional, and global shape models from planets, moons, and asteroids of our solar system (e.g., Giese et al. 2006; Gwinner et al. 2009, 2010; Preusker et al. 2012; Scholten et al. 2005, 2012).”