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SISPO: Space Imaging Simulator for Proximity Operations
This paper describes the architecture and demonstrates the capabilities of a newly developed, physically-based imaging simulator environment called SISPO, developed for small solar system body fly-by and terrestrial planet surface mission simulations. The image simulator utilises the open-source 3-D...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896705/ https://www.ncbi.nlm.nih.gov/pubmed/35245306 http://dx.doi.org/10.1371/journal.pone.0263882 |
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author | Pajusalu, Mihkel Iakubivskyi, Iaroslav Schwarzkopf, Gabriel Jörg Knuuttila, Olli Väisänen, Timo Bührer, Maximilian Palos, Mario F. Teras, Hans Le Bonhomme, Guillaume Praks, Jaan Slavinskis, Andris |
author_facet | Pajusalu, Mihkel Iakubivskyi, Iaroslav Schwarzkopf, Gabriel Jörg Knuuttila, Olli Väisänen, Timo Bührer, Maximilian Palos, Mario F. Teras, Hans Le Bonhomme, Guillaume Praks, Jaan Slavinskis, Andris |
author_sort | Pajusalu, Mihkel |
collection | PubMed |
description | This paper describes the architecture and demonstrates the capabilities of a newly developed, physically-based imaging simulator environment called SISPO, developed for small solar system body fly-by and terrestrial planet surface mission simulations. The image simulator utilises the open-source 3-D visualisation system Blender and its Cycles rendering engine, which supports physically based rendering capabilities and procedural micropolygon displacement texture generation. The simulator concentrates on realistic surface rendering and has supplementary models to produce realistic dust- and gas-environment optical models for comets and active asteroids. The framework also includes tools to simulate the most common image aberrations, such as tangential and sagittal astigmatism, internal and external comatic aberration, and simple geometric distortions. The model framework’s primary objective is to support small-body space mission design by allowing better simulations for characterisation of imaging instrument performance, assisting mission planning, and developing computer-vision algorithms. SISPO allows the simulation of trajectories, light parameters and camera’s intrinsic parameters. |
format | Online Article Text |
id | pubmed-8896705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88967052022-03-05 SISPO: Space Imaging Simulator for Proximity Operations Pajusalu, Mihkel Iakubivskyi, Iaroslav Schwarzkopf, Gabriel Jörg Knuuttila, Olli Väisänen, Timo Bührer, Maximilian Palos, Mario F. Teras, Hans Le Bonhomme, Guillaume Praks, Jaan Slavinskis, Andris PLoS One Research Article This paper describes the architecture and demonstrates the capabilities of a newly developed, physically-based imaging simulator environment called SISPO, developed for small solar system body fly-by and terrestrial planet surface mission simulations. The image simulator utilises the open-source 3-D visualisation system Blender and its Cycles rendering engine, which supports physically based rendering capabilities and procedural micropolygon displacement texture generation. The simulator concentrates on realistic surface rendering and has supplementary models to produce realistic dust- and gas-environment optical models for comets and active asteroids. The framework also includes tools to simulate the most common image aberrations, such as tangential and sagittal astigmatism, internal and external comatic aberration, and simple geometric distortions. The model framework’s primary objective is to support small-body space mission design by allowing better simulations for characterisation of imaging instrument performance, assisting mission planning, and developing computer-vision algorithms. SISPO allows the simulation of trajectories, light parameters and camera’s intrinsic parameters. Public Library of Science 2022-03-04 /pmc/articles/PMC8896705/ /pubmed/35245306 http://dx.doi.org/10.1371/journal.pone.0263882 Text en © 2022 Pajusalu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pajusalu, Mihkel Iakubivskyi, Iaroslav Schwarzkopf, Gabriel Jörg Knuuttila, Olli Väisänen, Timo Bührer, Maximilian Palos, Mario F. Teras, Hans Le Bonhomme, Guillaume Praks, Jaan Slavinskis, Andris SISPO: Space Imaging Simulator for Proximity Operations |
title | SISPO: Space Imaging Simulator for Proximity Operations |
title_full | SISPO: Space Imaging Simulator for Proximity Operations |
title_fullStr | SISPO: Space Imaging Simulator for Proximity Operations |
title_full_unstemmed | SISPO: Space Imaging Simulator for Proximity Operations |
title_short | SISPO: Space Imaging Simulator for Proximity Operations |
title_sort | sispo: space imaging simulator for proximity operations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8896705/ https://www.ncbi.nlm.nih.gov/pubmed/35245306 http://dx.doi.org/10.1371/journal.pone.0263882 |
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