Paper
7 May 2010 Optimising the deployment of airborne heterogeneous sensors for persistent ISR missions
Alex J. Barnett, Gavin Pearson, Robert I. Young
Author Affiliations +
Abstract
Ultimately, the success of any persistent ISR system will be judged by the quality (timeliness, accuracy and provenance) of the intelligence products that it delivers. In deploying multiple sensors to gather intelligence there is frequently a tripartite trade-off to be made between the physical constraints imposed by the sensor and platform performance both against the requirements of that mission and against the information needs of other users. Thus there is a need when working with constrained resources to optimise deployment through intelligent tasking to maximise the information quality without contradictory or over-constraining requirements and whilst maintaining mission efficiency. This paper considers recent advancements in defining mission specifications to better facilitate the optimum deployment of sensors against competing requirements and the needs of different missions. Considerations will be based against a scenario of a number of airborne vehicles carrying heterogeneous imaging sensors tasked for mine detection missions.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alex J. Barnett, Gavin Pearson, and Robert I. Young "Optimising the deployment of airborne heterogeneous sensors for persistent ISR missions", Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 769404 (7 May 2010); https://doi.org/10.1117/12.852850
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KEYWORDS
Sensors

Intelligence systems

Intelligent sensors

Land mines

Roads

Image resolution

Optical sensors

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