Vision and Image Processing-Reference-Cited by-同舟云学术

Vision and Image Processing

Published:2016-08-12 Issue: Volume: Page:105-179
ISSN:
Container-title:Contemporary Planetary Robotics
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Author:

Paar Gerhard¹,Deen Robert G.²,Muller Jan-Peter³,Silva Nuno⁴,Iles Peter⁵,Shaukat Affan⁶,Gao Yang⁷

Affiliation:

1. Machine Vision Applications Group; Joanneum Research Institute for Information and Communication Technologie; Steyrergasse 17 Graz 8010 Austria

2. California Institute of Technology; Instrument Software and Science Data Systems Section Jet Propulsion Laboratory; 4800 Oak Grove Drive Pasadena CA 91109 USA

3. Imaging Group Mullard Space Science Laboratory; UCL Department of Space & Climate Physics; Holmbury St Mary Surrey RH5 6NT United Kingdom

4. Airbus Defence and Space Ltd.; Department of AOCS/GNC and Flight Dynamics; GunnelsWood Road Stevenage Hertfordshire SG1 2AS United Kingdom

5. Neptec Design Group; Space Exploration; 302 Legget Drive Ottawa ON K2K 1Y5 Canada

6. University of Surrey; Surrey Space Centre, Department of Electrical & Electronic Engineering; Guildford GU2 7XH United Kingdom

7. University of Surrey; Surrey Space Centre; STAR Lab, Stag Hill Surrey Guildford GU2 7XH United Kingdom

Publisher

Wiley-VCH Verlag GmbH & Co. KGaA

Reference146 articles.

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3. NASA Microsoft Collaboration Will Allow Scientists to ‘Work on Mars’ 2015 http://www.jpl.nasa.gov/news/news.php?feature=4451

4. A survey on recent object detection techniques useful for monocular vision-based planetary terrain classification;Gao;Robotics and Autonomous Systems,2014

5. Lemmon , M.T. 2011 Atmospheric opacity, surface insolation, and dust lifting over 3 Mars years with the Mars Exploration Rovers EPSC-DPS Joint Meeting 2011 1503

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