elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

A comparison of feature detection in low atmospheric pressure using thermal and visible images

Sharif, Helia and Pfaab, Christian and Hölzel, Matthew (2017) A comparison of feature detection in low atmospheric pressure using thermal and visible images. 14th IEEE International Conference on Imaging Systems and Techniques (IST), 18-20 Oct 2017, Beijing, China. DOI: 10.1109/IST.2017.8261501 ISBN 9781538616208

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/abstract/document/8261501/?reload=true

Abstract

Due to the proliferation of orbital debris, it is now more crucial for spacecraft to be equipped with autonomous obstacle avoidance capabilities. In this paper, we propose a novel optical navigation technique to detect nearby debris efficiently and accurately in real-time by combining feature detection results from thermal and visible images. Furthermore, to demonstrate the robustness of the proposed approach, we compare our results using only thermal or visible imagery at both sea level and at high altitude to show the accuracy gains that can be achieved. The performance of the object detection algorithm was evaluated by comparing the trade-off between object detection accuracy and overall detection runtime across different atmospheric pressures using the Oriented Fast and Rotated Brief (ORB) feature detector.

Item URL in elib:https://elib.dlr.de/116555/
Document Type:Conference or Workshop Item (Speech)
Title:A comparison of feature detection in low atmospheric pressure using thermal and visible images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sharif, HeliaHelia.Sharif (at) dlr.deUNSPECIFIED
Pfaab, ChristianUniversität BremenUNSPECIFIED
Hölzel, MatthewUniversität BremenUNSPECIFIED
Date:October 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:14
DOI :10.1109/IST.2017.8261501
ISBN:9781538616208
Status:Published
Keywords:Infrared Imaging, Autonomous Object Detection, Feature Extraction.
Event Title:14th IEEE International Conference on Imaging Systems and Techniques (IST)
Event Location:Beijing, China
Event Type:international Conference
Event Dates:18-20 Oct 2017
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Bremen
Institutes and Institutions:Institute of Space Systems > Navigation and Control Systems
Deposited By: Sharif, Helia
Deposited On:14 Dec 2017 10:15
Last Modified:02 May 2018 10:16

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.