Characterization of UAV hover patterns in support of super resolution research

Jeremy Straub; Ronald Marsh

doi:10.1117/12.2178175

19 May 2015 Characterization of UAV hover patterns in support of super resolution research

Jeremy Straub, Ronald Marsh

Proceedings Volume 9460, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII; 94600D (2015) https://doi.org/10.1117/12.2178175
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Jeremy Straub and Ronald Marsh "Characterization of UAV hover patterns in support of super resolution research", Proc. SPIE 9460, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII, 94600D (19 May 2015); https://doi.org/10.1117/12.2178175

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KEYWORDS

Super resolution

Image enhancement

Unmanned aerial vehicles

Image resolution

Image processing

Resolution enhancement technologies

Cameras

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