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EU-FP7-iMARS: Analysis Of Mars Multi-resolution Images Using Auto-Coregistration, Data Mining And Crowd Source Techniques: Processed Results – A First Look

Muller, J-P; Tao, Y; Sidiropoulos, P; Gwinner, K; Willner, K; Fanara, L; Waehlisch, M; ... Bamford, S; + view all (2016) EU-FP7-iMARS: Analysis Of Mars Multi-resolution Images Using Auto-Coregistration, Data Mining And Crowd Source Techniques: Processed Results – A First Look. In: Halounova, L and Šafář, V and Jiang, J and Olešovská, H and Dvořáček, P and Holland, D and Seredovich, VA, (eds.) XXIII ISPRS Congress: Commission IV [Proceedings]. (pp. pp. 453-458). Copernicus Gesellschaft MBH Green open access

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Abstract

Understanding planetary atmosphere-surface exchange and extra-terrestrial-surface formation processes within our Solar System is one of the fundamental goals of planetary science research. There has been a revolution in planetary surface observations over the last 15 years, especially in 3D imaging of surface shape. This has led to the ability to overlay image data and derived information from different epochs, back in time to the mid 1970s, to examine changes through time, such as the recent discovery of mass movement, tracking inter-year seasonal changes and looking for occurrences of fresh craters. Within the EU FP-7 iMars project, we have developed a fully automated multi-resolution DTM processing chain, called the Coregistration ASP-Gotcha Optimised (CASP-GO), based on the open source NASA Ames Stereo Pipeline (ASP) [Tao et al., this conference], which is being applied to the production of planetwide DTMs and ORIs (OrthoRectified Images) from CTX and HiRISE. Alongside the production of individual strip CTX & HiRISE DTMs & ORIs, DLR [Gwinner et al., 2015] have processed HRSC mosaics of ORIs and DTMs for complete areas in a consistent manner using photogrammetric bundle block adjustment techniques. A novel automated co-registration and orthorectification chain has been developed by [Sidiropoulos & Muller, this conference]. Using the HRSC map products (both mosaics and orbital strips) as a map-base it is being applied to many of the 400,000 level-1 EDR images taken by the 4 NASA orbital cameras. In particular, the NASA Viking Orbiter camera (VO), Mars Orbiter Camera (MOC), Context Camera (CTX) as well as the High Resolution Imaging Science Experiment (HiRISE) back to 1976. A webGIS has been developed [van Gasselt et al., this conference] for displaying this time sequence of imagery and will be demonstrated showing an example from one of the HRSC quadrangle map-sheets. Automated quality control [Sidiropoulos & Muller, 2015] techniques are applied to screen for suitable images and these are extended to detect temporal changes in features on the surface such as mass movements, streaks, spiders, impact craters, CO2 geysers and Swiss Cheese terrain. For result verification these data mining techniques are then being employed within a citizen science project within the Zooniverse family. Examples of data mining and its verification will be presented.

Type: Proceedings paper
Title: EU-FP7-iMARS: Analysis Of Mars Multi-resolution Images Using Auto-Coregistration, Data Mining And Crowd Source Techniques: Processed Results – A First Look
Event: XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic
Open access status: An open access version is available from UCL Discovery
DOI: 10.5194/isprsarchives-XLI-B4-453-2016
Publisher version: http://www.int-arch-photogramm-remote-sens-spatial...
Language: English
Additional information: Published under the Creative Common Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0/)
Keywords: automated DTM and co-registration, multi-resolution DTM + ORI, CTX, HiRISE, HRSC, webGIS
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
URI: https://discovery.ucl.ac.uk/id/eprint/1542486
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