Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty
Earth Polychromatic Imaging Camera occupies a unique point of view for an Earth imager by being located approximately 1.5 million km from the planet at Earth-Sun Lagrange point, L1. This creates a number of unique challenges in geolocation, some of which are distance and mission specific. To solve t...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:cd0e3af7cb804b3b990c9f5e84deeee22021-11-12T06:38:37ZEarth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty2673-618710.3389/frsen.2021.715296https://doaj.org/article/cd0e3af7cb804b3b990c9f5e84deeee22021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frsen.2021.715296/fullhttps://doaj.org/toc/2673-6187Earth Polychromatic Imaging Camera occupies a unique point of view for an Earth imager by being located approximately 1.5 million km from the planet at Earth-Sun Lagrange point, L1. This creates a number of unique challenges in geolocation, some of which are distance and mission specific. To solve these problems, algorithmic adaptations need to be made for calculations used for standard geolocation solutions, as well as artificial intelligence-based corrections for star tracker attitude and optical issues. This paper discusses methods for resolving these issues and bringing the geolocation solution to within requirements.Karin BlankLiang-Kang HuangLiang-Kang HuangJay HermanJay HermanAlexander MarshakFrontiers Media S.A.articlegeolocationgeolocation accuracygeolocation algorithmdeep space climate observatory (DSCOVR)earth polychromatic imaging camera (EPIC)Geophysics. Cosmic physicsQC801-809Meteorology. ClimatologyQC851-999ENFrontiers in Remote Sensing, Vol 2 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
geolocation geolocation accuracy geolocation algorithm deep space climate observatory (DSCOVR) earth polychromatic imaging camera (EPIC) Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999 |
spellingShingle |
geolocation geolocation accuracy geolocation algorithm deep space climate observatory (DSCOVR) earth polychromatic imaging camera (EPIC) Geophysics. Cosmic physics QC801-809 Meteorology. Climatology QC851-999 Karin Blank Liang-Kang Huang Liang-Kang Huang Jay Herman Jay Herman Alexander Marshak Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
description |
Earth Polychromatic Imaging Camera occupies a unique point of view for an Earth imager by being located approximately 1.5 million km from the planet at Earth-Sun Lagrange point, L1. This creates a number of unique challenges in geolocation, some of which are distance and mission specific. To solve these problems, algorithmic adaptations need to be made for calculations used for standard geolocation solutions, as well as artificial intelligence-based corrections for star tracker attitude and optical issues. This paper discusses methods for resolving these issues and bringing the geolocation solution to within requirements. |
format |
article |
author |
Karin Blank Liang-Kang Huang Liang-Kang Huang Jay Herman Jay Herman Alexander Marshak |
author_facet |
Karin Blank Liang-Kang Huang Liang-Kang Huang Jay Herman Jay Herman Alexander Marshak |
author_sort |
Karin Blank |
title |
Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
title_short |
Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
title_full |
Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
title_fullStr |
Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
title_full_unstemmed |
Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty |
title_sort |
earth polychromatic imaging camera geolocation; strategies to reduce uncertainty |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/cd0e3af7cb804b3b990c9f5e84deeee2 |
work_keys_str_mv |
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1718431136874496000 |