Lunar Reflectance Modeling for Terrain Relative Navigation

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AAS-23-421.pdf (3.95 MB)
Author(s)
DeVries, Carl
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Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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https://hdl.handle.net/1853/74900
Abstract
Feature matching techniques often encode a brightness pattern from an image without knowledge of the underlying scene. This makes feature matching difficult when illumination conditions change significantly between images or are not consistent with onboard maps. The brightness patterns in images of the lunar surface can be partially described by a surface reflectance model which can often be parameterized by quantities known onboard from a sun sensor and calibrated camera. Unfortunately, these models can be intractable due to their complexity. This work develops a reduced-order lunar reflectance model for future illumination-informed feature descriptor development.
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Date
2023-08
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Text
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Paper
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