2020
DOI: 10.1016/j.pss.2019.104764
|View full text |Cite
|
Sign up to set email alerts
|

Digital terrain mapping by the OSIRIS-REx mission

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
110
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
1
1

Relationship

4
5

Authors

Journals

citations
Cited by 95 publications
(111 citation statements)
references
References 39 publications
1
110
0
Order By: Relevance
“…This study made use of the v42 shape model developed using stereophotoclinometry (SPC) ( 57 ) and slightly higher fidelity than the model presented in ( 54 ) and used in ( 35 ). Detailed assessment of this model using image-derived limb information and range measurements collected in spring of 2019 by the OSIRIS-REx Laser Altimeter ( 58 ) indicate that it has an RMS uncertainty that ranges from 0.5 to 0.7 m. This RMS error folds in an overall scale error and small-scale surface variations.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This study made use of the v42 shape model developed using stereophotoclinometry (SPC) ( 57 ) and slightly higher fidelity than the model presented in ( 54 ) and used in ( 35 ). Detailed assessment of this model using image-derived limb information and range measurements collected in spring of 2019 by the OSIRIS-REx Laser Altimeter ( 58 ) indicate that it has an RMS uncertainty that ranges from 0.5 to 0.7 m. This RMS error folds in an overall scale error and small-scale surface variations.…”
Section: Methodsmentioning
confidence: 99%
“…Optical navigation measurements ( 63 ) are derived from a landmark-tracking process using SPC ( 64 ). Spacecraft imagery from all cameras was used to construct a global shape model of the asteroid, consisting of overlapping networks of landmarks at variety of scales that increased with improving picture resolution ( 57 ). Optical observations for orbit determination consist of the camera-frame coordinates of the center of all of the landmarks that are visible in a given image.…”
Section: Methodsmentioning
confidence: 99%
“…To determine the smallest spatial scale of roughness to which the infrared data are sensitive, we compared our surface roughness maps with the global 20-cm-facet shape model of Bennu derived from data acquired by the OSIRIS-REx Laser Altimeter (OLA) (39)(40)(41). For a direct comparison, we first calculated the RMS slopes of the global 20-cm shape model with respect to the equivalent 6-m shape model.…”
Section: Spatial Variations In Surface Roughnessmentioning
confidence: 99%
“…The scans were corrected for spacecraft position, spacecraft pointing, and Bennu's rotation using the SPICE framework (36,37). They were then assembled into a self-consistent global point cloud by iteratively minimizing the differences between matched features in overlapping scans as described in (13,14) until the scan mismatches were balanced over all the scans. The method depends on each scan being well constructed to minimize long-wavelength shape errors.…”
Section: Global Dtmmentioning
confidence: 99%