Onboard Image-Processing Algorithm for a Spacecraft Optical Navigation Sensor System
A new image-processing algorithm is presented that is capable of autonomously extracting optical navigation measurements from raw images taken by a spacecraft in the vicinity of a planet or moon. The algorithm is designed to support autonomous navigation onboard a spacecraft without Earth communicat...
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| Veröffentlicht in: | Journal of spacecraft and rockets 2012-03, Vol.49 (2), p.337-352 |
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| container_end_page | 352 |
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| container_issue | 2 |
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| container_title | Journal of spacecraft and rockets |
| container_volume | 49 |
| creator | Christian, John A Lightsey, E. Glenn |
| description | A new image-processing algorithm is presented that is capable of autonomously extracting optical navigation measurements from raw images taken by a spacecraft in the vicinity of a planet or moon. The algorithm is designed to support autonomous navigation onboard a spacecraft without Earth communication. The planet or moon is modeled as a triaxial ellipsoid and the two-dimensional image is fitted to the three-dimensional model using conic section curve fitting methods. The performance of this algorithm is demonstrated with real images of Earth, the moon, Venus, Mercury, and Phobos taken by spacecraft under different operating conditions. Analytic methods are also presented for computing the corresponding measurement covariance matrices and measurement sensitivity matrices. [PUBLISHER ABSTRACT] |
| doi_str_mv | 10.2514/1.A32065 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 0022-4650 |
| ispartof | Journal of spacecraft and rockets, 2012-03, Vol.49 (2), p.337-352 |
| issn | 0022-4650 1533-6794 |
| language | eng |
| recordid | cdi_aiaa_journals_10_2514_1_A32065 |
| source | Alma/SFX Local Collection |
| subjects | Algorithms Earth Mathematical analysis Matrices Moon Onboard Spacecraft |
| title | Onboard Image-Processing Algorithm for a Spacecraft Optical Navigation Sensor System |
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