PROCESS OF PROBABILISTIC MULTI-SOURCE MULTI-INT FUSION BENEFIT ANALYSIS
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    发明申请
    PROCESS OF PROBABILISTIC MULTI-SOURCE MULTI-INT FUSION BENEFIT ANALYSIS 审中-公开
    概率多源融合优势分析方法

    公开(公告)号:US20150205760A1

    公开(公告)日:2015-07-23

    申请号:US14600904

    申请日:2015-01-20

    CPC classification number: G06N5/04 G06F17/18 G06N99/005

    Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

    Abstract translation: 一种融合传感器检测概率的方法。 检测概率的融合可能允许第一个力量从第二个力量中检测即将发生的威胁,并有足够的时间来对抗威胁。 检测概率可以包括一个或多个传感器的精度概率和一个或多个传感器的可用时间概率。 检测概率允许确定由每个传感器收集的智能的准确性。 此外,检测概率允许确定附加平台,传感器或处理方法的可能的益处。 检测概率允许系统或任务分析人员在不同的条件下快速分解问题空间并构建对场景的详细分析,包括技术和环境因素。

    Process of probabilistic multi-source multi-INT fusion benefit analysis

    公开(公告)号:US10068177B2

    公开(公告)日:2018-09-04

    申请号:US14600904

    申请日:2015-01-20

    Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

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