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

Y. Tao; J-P. Muller

doi:10.1117/12.2500195

9 October 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

Y. Tao, J-P. Muller

Author Affiliations +

Proceedings Volume 10792, High-Performance Computing in Geoscience and Remote Sensing VIII; 1079207 (2018) https://doi.org/10.1117/12.2500195
Event: SPIE Remote Sensing, 2018, Berlin, Germany

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.

Conference Presentation

Citation Download Citation

Y. Tao and J-P. Muller "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", Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII, 1079207 (9 October 2018); https://doi.org/10.1117/12.2500195

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