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System and method for automatic recognition of formations in moving target indication data

机译:自动识别运动目标指示数据中的编队的系统和方法

摘要

A system and method for determining a threat level associated with a collection of detected objects within a geographical area of interest are disclosed. A set of formation templates representative of organizational patterns are defined. Configurations for the templates are defined. Data is collected from objects detected in the area of interest. A density image is generated based on the geographic locations of the detected objects. Sections of the density image that are too sparse to contain a formation are determined and excluded from further analysis. The density image is compared to each of the template configurations. The probability of finding points in each of the template cells for each of the template configurations is determined. The probable formation(s), if any, based on the probability of finding points in each of the template cells for each of the possible configurations of each of the possible templates is determined. If this probability is greater than the null hypothesis (no formations), probable formation(s), if any, are reported.
机译:公开了一种用于确定与感兴趣的地理区域内的检测到的对象的集合相关联的威胁等级的系统和方法。定义了代表组织模式的一组形成模板。定义了模板的配置。从感兴趣区域中检测到的对象收集数据。基于检测到的物体的地理位置生成密度图像。确定密度图像中太稀疏而无法包含地层的部分,并将其从进一步的分析中排除。将密度图像与每个模板配置进行比较。确定在每个模板配置中的每个模板单元中找到点的概率。基于对于每个可能模板的每个可能配置中的每个模板单元中发现点的概率,确定可能的形成(一个或多个)。如果此概率大于零假设(无编队),则报告可能的编队(如有)。

著录项

  • 公开/公告号US2003031367A1

    专利类型

  • 公开/公告日2003-02-13

    原文格式PDF

  • 申请/专利权人 SCHWARTZ STEVEN A.;

    申请/专利号US20010870805

  • 发明设计人 STEVEN A. SCHWARTZ;

    申请日2001-05-31

  • 分类号G06K9/62;

  • 国家 US

  • 入库时间 2022-08-22 00:11:04

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