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Proceedings Paper

Characterization of UAV hover patterns in support of super resolution research
Author(s): Jeremy Straub; Ronald Marsh
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Paper Abstract

Prior work has demonstrated the efficacy of a hierarchical super-resolution technique for enhancing image data similar to that collected by UAVs. This technology relies on sub-pixel movement between images (which was artificially created during the prior work). This paper characterizes a UAV’s hover movement pattern to evaluate whether this (1) may produce the requisite level of movement and (2) to characterize the distances from the target at which this hover pattern movement provide a suitable level of shifting. The impact of being able to utilize the hover movement to aid super-resolution is discussed and future work is considered.

Paper Details

Date Published: 19 May 2015
PDF: 8 pages
Proc. SPIE 9460, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII, 94600D (19 May 2015); doi: 10.1117/12.2178175
Show Author Affiliations
Jeremy Straub, Univ. of North Dakota (United States)
Ronald Marsh, Univ. of North Dakota (United States)

Published in SPIE Proceedings Vol. 9460:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII
Daniel J. Henry; Gregory J. Gosian; Davis A. Lange; Dale Linne von Berg; Thomas J. Walls; Darrell L. Young, Editor(s)

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