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Robust Approximation of Image Illumination Direction in a Segmentation-Based Crater Detection Algorithm for Spacecraft Navigation

Maass, Bolko (2016) Robust Approximation of Image Illumination Direction in a Segmentation-Based Crater Detection Algorithm for Spacecraft Navigation. CEAS Space Journal. Springer. DOI: 10.1007/s12567-016-0129-1 ISSN 1868-2502

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Abstract

This paper describes an efficient and easily implemented algorithmic approach to extracting an approximation to an image's dominant projected illumination direction, based on intermediary results from a segmentation-based crater detection algorithm (CDA), at a computational cost that is negligible in comparison to that of the prior stages of the CDA. Most contemporary CDAs built for spacecraft navigation use this illumination direction as a means of improving performance or even require it to function at all. Deducing the illumination vector from the image alone reduces the reliance on external information such as the accurate knowledge of the spacecraft inertial state, accurate time base and solar system ephemerides. Therefore, a method such as the one described in this paper is a prerequisite for true "Lost in Space" operation of a purely segmentation-based crater detecting and matching method for spacecraft navigation. The proposed method is verified using ray-traced lunar elevation model data, asteroid image data, and in a laboratory setting with a camera in the loop.

Item URL in elib:https://elib.dlr.de/104630/
Document Type:Article
Title:Robust Approximation of Image Illumination Direction in a Segmentation-Based Crater Detection Algorithm for Spacecraft Navigation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Maass, Bolkobolko.maass (at) dlr.dehttps://orcid.org/0000-0002-2706-5432
Date:2016
Journal or Publication Title:CEAS Space Journal
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1007/s12567-016-0129-1
Publisher:Springer
ISSN:1868-2502
Status:Published
Keywords:Crater Detection, Illumination Estimation, Spacecraft Navigation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Projekt ATON
Location: Bremen
Institutes and Institutions:Institute of Space Systems > Navigation and Control Systems
Deposited By: Maass, Bolko
Deposited On:14 Jun 2016 10:03
Last Modified:31 Jul 2019 20:01

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