Tao, Y;
Muller, JP;
(2018)
Performance of global 3D model retrievals of the Martian surface using the UCL CASP-GO system on CTX stereo images on Linux clusters and Microsoft Azure cloud computing platforms.
In: Huang, B and López, S and Wu, Z, (eds.)
High-Performance Computing in Geoscience and Remote Sensing VIII.
SPIE: Berlin, Germany.
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Abstract
In this paper we introduce the Mars planet-wide 3D surface modelling work performed within the EU FP-7 iMars project which completed last year. In this report, we describe a fully automated multi-resolution DTM processing chain developed by the Imaging Group at UCL-MSSL, called CASP-GO based upon the heritage NASA Ames Stereo Pipeline (ASP) and the Gotcha image matcher. The CASP-GO system has been integrated into the Microsoft Azure cloud computing environment and successfully processed ~5,300 unique CTX DTMs covering ~19% of the Martian surface at 18m resolution.
| Type: | Proceedings paper |
|---|---|
| Title: | Performance of global 3D model retrievals of the Martian surface using the UCL CASP-GO system on CTX stereo images on Linux clusters and Microsoft Azure cloud computing platforms |
| Event: | SPIE Remote Sensing |
| Location: | Berlin, Germany |
| Dates: | 10 September 2018 - 13 September 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2500195 |
| Publisher version: | https://doi.org/10.1117/12.2500195 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| 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-pp.ucl.ac.uk/id/eprint/10062103 |
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