Multispectral image processing for navigation using low performance computing

Simple item page
dc.contributor.authorRondao, Duarte
dc.contributor.authorAouf, Nabil
dc.contributor.authorDubois-Matra, Olivier
dc.date.accessioned2018-10-22T14:46:26Z
dc.date.available2018-10-22T14:46:26Z
dc.date.issued2018-10
dc.description.abstractSpace debris represents a growing threat for both current spacecraft and future launches. This is exceptionally alarming in the case of low Earth orbits, where chain impacts of existing debris generate even more fragments, increasing the probability of further collisions. The now defunct satellite Envisat represents one of the largest objects classified as space debris. The e.Deorbit mission will demonstrate active debris removal (ADR) technology to successfully decommission Envisat and other non-functional target spacecraft in orbit. Relative navigation solutions shall be achieved using image processing algorithms, which implies the detection and matching of two-dimensional regions of interest. In this work, multiple pattern recognition techniques are investigated for the detection and description of these features. This analysis of feature perception is achieved for the first time in the context of space non-cooperative rendezvous (NCRV) across two different modalities: the visible (0.39-0.70 μm) and the thermal infrared (8-14 μm). The assessed algorithms are implemented in a dedicated, space-appropriate hardware processor to benchmark their real-time capabilities.en_UK
dc.identifier.citationDuarte Rondao, Nabil Aouf and Olivier Dubois-Matra. Multispectral image processing for navigation using low performance computing International Astronautical Congress 2018 (IAC ’18), 1-5 October 2018, Bremen, Germany.en_UK
dc.identifier.urihttps://iafastro.directory/iac/paper/id/43502/summary/
dc.identifier.urihttps://iafastro.directory/iac/archive/
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13558
dc.language.isoenen_UK
dc.publisherInternational Astronautical Federationen_UK
dc.titleMultispectral image processing for navigation using low performance computingen_UK
dc.typeConference paperen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Multispectral_image_processing_for_navigation-2018.pdf
Size:
2.56 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (CDS)