Paper
24 April 2010 Multisensor airborne imagery collection and processing onboard small unmanned systems
Dale Linne von Berg, Scott A. Anderson, Alan Bird, Niel Holt, Melvin Kruer, Thomas J. Walls, Michael L. Wilson
Author Affiliations +
Abstract
FEATHAR (Fusion, Exploitation, Algorithms, and Targeting for High-Altitude Reconnaissance) is an ONR funded effort to develop and test new tactical sensor systems specifically designed for small manned and unmanned platforms (payload weight < 50 lbs). This program is being directed and executed by the Naval Research Laboratory (NRL) in conjunction with the Space Dynamics Laboratory (SDL). FEATHAR has developed and integrated EyePod, a combined long-wave infrared (LWIR) and visible to near infrared (VNIR) optical survey & inspection system, with NuSAR, a combined dual band synthetic aperture radar (SAR) system. These sensors are being tested in conjunction with other ground and airborne sensor systems to demonstrate intelligent real-time cross-sensor cueing and in-air data fusion. Results from test flights of the EyePod and NuSAR sensors will be presented.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dale Linne von Berg, Scott A. Anderson, Alan Bird, Niel Holt, Melvin Kruer, Thomas J. Walls, and Michael L. Wilson "Multisensor airborne imagery collection and processing onboard small unmanned systems", Proc. SPIE 7668, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII, 766807 (24 April 2010); https://doi.org/10.1117/12.850775
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CITATIONS
Cited by 3 scholarly publications and 3 patents.
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KEYWORDS
Sensors

High altitude reconnaissance

Inspection

Target detection

Image processing

Algorithm development

Image sensors

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