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Efficient and Robust Large-Scale Multisensor-Multitarget Surveillance Algorithms

Efficient and Robust Large-Scale Multisensor-Multitarget Surveillance Algorithms
高效、鲁棒的大规模多传感器多目标监视算法
批准号:
349292-2007
负责人:
Kirubarajan, Thia
金额:
$1.09万
依托单位:
依托单位国家:
加拿大
项目类别:
Department of National Defence / NSERC Research Partnership
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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英文摘要
Surveillance of Canada's extensive air, sea and ground boundaries plays a vital role in the defense of the nation. Tracking the motion of incoming and outgoing air, sea, ground and space objects (or targets), fusing the information from a multitude of sensor resources like radar, sonar, satellites and video, and identifying the targets' types and intentions are integral parts of surveillance. While there have been significant algorithm developments in target tracking over a number of years, the problem itself has become more complicated because of the availability of a large number and variety of new sensors, presence of highly agile and stealthy targets and the urgent need to detect, identify and track targets more accurately than ever before.
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