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Articles | Volume XLII-3/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W1, 133–139, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W1-133-2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W1, 133–139, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W1-133-2017
 
25 Jul 2017
25 Jul 2017

A PHOTOGRAMMETRIC PIPELINE FOR THE 3D RECONSTRUCTION OF CASSIS IMAGES ON BOARD EXOMARS TGO

E. Simioni1, C. Re2, T. Mudric2, A. Pommerol3, N. Thomas3, and G. Cremonese2 E. Simioni et al.
  • 1CNR-Institute for Photonics and Nanotechnologies, Padova LUXOR, Padova, Italy
  • 2INAF-Astronomical Observatory Padova, Padova, Italy
  • 3University of Bern, Physikalisches Institut, Space Research and Planetology Division, Bern, Switzerland

Keywords: Image Processing, Satellite Images, Software, Digital Photogrammetry

Abstract. CaSSIS (Colour and Stereo Surface Imaging System) is the stereo imaging system onboard the European Space Agency and ROSCOSMOS ExoMars Trace Gas Orbiter (TGO) that has been launched on 14 March 2016 and entered a Mars elliptical orbit on 19 October 2016. During the first bounded orbits, CaSSIS returned its first multiband images taken on 22 and 26 November 2016. The telescope acquired 11 images, each composed by 30 framelets, of the Martian surface near Hebes Chasma and Noctis Labyrithus regions reaching at closest approach at a distance of 250 km from the surface. Despite of the eccentricity of this first orbit, CaSSIS has provided one stereo pair with a mean ground resolution of 6 m from a mean distance of 520 km. The team at the Astronomical Observatory of Padova (OAPD-INAF) is involved into different stereo oriented missions and it is realizing a software for the generation of Digital Terrain Models from the CaSSIS images. The SW will be then adapted also for other projects involving stereo camera systems. To compute accurate 3D models, several sequential methods and tools have been developed. The preliminary pipeline provides: the generation of rectified images from the CaSSIS framelets, a matching core and post-processing methods. The software includes in particular: an automatic tie points detection by the Speeded Up Robust Features (SURF) operator, an initial search for the correspondences through Normalize Cross Correlation (NCC) algorithm and the Adaptive Least Square Matching (LSM) algorithm in a hierarchical approach. This work will show a preliminary DTM generated by the first CaSSIS stereo images.