Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty
| dc.contributor.author | Blank, Karin | |
| dc.contributor.author | Huang, Liang-Kang | |
| dc.contributor.author | Herman, Jay | |
| dc.contributor.author | Marshak, Alexander | |
| dc.date.accessioned | 2023-03-23T18:21:50Z | |
| dc.date.available | 2023-03-23T18:21:50Z | |
| dc.date.issued | 2021-11-12 | |
| dc.description.abstract | 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. | en |
| dc.description.sponsorship | Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. | en |
| dc.description.uri | https://www.frontiersin.org/articles/10.3389/frsen.2021.715296/full | en |
| dc.format.extent | 9 pages | en |
| dc.genre | journal articles | en |
| dc.identifier | doi:10.13016/m23epu-rk3e | |
| dc.identifier.citation | Blank K, Huang L-K, Herman J and Marshak A (2021) Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty. Front. Remote Sens. 2:715296. doi: 10.3389/frsen.2021.715296 | en |
| dc.identifier.uri | https://doi.org/10.3389/frsen.2021.715296 | |
| dc.identifier.uri | http://hdl.handle.net/11603/27087 | |
| dc.language.iso | en | en |
| dc.publisher | Frontiers | en |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Joint Center for Earth Systems Technology | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC GESTAR II | |
| dc.rights | Public Domain Mark 1.0 | * |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | en |
| dc.rights.uri | http://creativecommons.org/publicdomain/mark/1.0/ | * |
| dc.title | Earth Polychromatic Imaging Camera Geolocation; Strategies to Reduce Uncertainty | en |
| dc.title.alternative | EPIC Geolocation | en |
| dc.type | Text | en |
| dcterms.creator | https://orcid.org/0000-0002-9146-1632 | en |