3D Reconstruction of Small Solar System Bodies using Rendered and Compressed Images

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Slavinskis, Andris
dc.contributor.author Schwarzkopf, Gabriel
dc.date.accessioned 2020-03-22T18:12:14Z
dc.date.available 2020-03-22T18:12:14Z
dc.date.issued 2020-03-16
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/43609
dc.description.abstract Synthetic image generation and reconstruction of Small Solar System Bodies and the influence of compression is becoming an important study topic because of the advent of small spacecraft in deep space missions. Most of these missions are fly-by scenarios, for example in the Comet Interceptor mission. Due to limited data budgets of small satellite missions, maximising scientific return requires investigating effects of lossy compression. A preliminary simulation pipeline had been developed that uses physics-based rendering in combination with procedural terrain generation to overcome limitations of currently used methods for image rendering like the Hapke model. The rendered Small Solar System Body images are combined with a star background and photometrically calibrated to represent realistic imagery. Subsequently, a Structure-from-Motion pipeline reconstructs three-dimensional models from the rendered images. In this work, the preliminary simulation pipeline was developed further into the Space Imaging Simulator for Proximity Operations software package and a compression package was added. The compression package was used to investigate effects of lossy compression on reconstructed models and the possible amount of data reduction of lossy compression to lossless compression. Several scenarios with varying fly-by distances ranging from 50 km to 400 km and body sizes of 1 km and 10 km were simulated and compressed with lossless and several quality levels of lossy compression using PNG and JPEG 2000 respectively. It was found that low compression ratios introduce artefacts resembling random noise while high compression ratios remove surface features. The random noise artefacts introduced by low compression ratios frequently increased the number of vertices and faces of the reconstructed three-dimensional model. en
dc.format.extent 82+3
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title 3D Reconstruction of Small Solar System Bodies using Rendered and Compressed Images en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.subject.keyword small solar system bodies en
dc.subject.keyword compression en
dc.subject.keyword image rendering en
dc.subject.keyword deep space exploration en
dc.subject.keyword simulation en
dc.subject.keyword computer vision en
dc.identifier.urn URN:NBN:fi:aalto-202003222643
dc.programme.major Space Robotics and Automation fi
dc.programme.mcode ELEC3047 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Praks, Jaan
dc.programme Erasmus Mundus Space Master fi
dc.location P1 fi
local.aalto.electroniconly yes
local.aalto.openaccess yes

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