首页> 外文会议>High-performance computing in geoscience and remote sensing VIII >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
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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

机译:在Linux群集和MicrosoftAzure®云计算平台上使用UCL CASP-GO系统对CTX立体图像进行火星表面的全局3D模型检索的性能

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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.
机译:在本文中,我们介绍了去年完成的EU FP-7 iMars项目中执行的火星全行星3D表面建模工作。在此报告中,我们描述了由UCL-MSSL影像小组开发的全自动多分辨率DTM处理链,称为CASP-GO,它基于传统的NASA Ames立体管线(ASP)和Gotcha图像匹配器。 CASP-GO系统已集成到Microsoft Azure云计算环境中,并以18m分辨率成功处理了约5,300个独特的CTX DTM,覆盖了火星表面的约19%。

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