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Object clustering method in situation assessment

A technology for situational assessment and targeting, applied in the direction of instruments, character and pattern recognition, computer components, etc., to achieve the effect of improving accuracy

Active Publication Date: 2013-11-27
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the above-mentioned prior art, the object of the present invention is to provide a target grouping method in situation assessment, which can meet the needs of complex battlefield environments, and has the characteristics of accurate grouping

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Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with the drawings and embodiments.

[0030] The target grouping method in the battlefield situation assessment of the present invention is a target grouping method based on hierarchical clustering technology. The accuracy and speed of the grouping are incomparable with the prior tracking methods, and the method of the present invention is effective Ground support for battlefield situation assessment and battlefield commander’s decision-making.

[0031] Reference figure 1 As shown, the target grouping in the battlefield situation assessment of the present invention includes the following steps:

[0032] First, generate the attribute priority list and the clustering factor matrix. The attribute priority linked list refers to the linked list in the order of the selected target attributes. Suppose there are two attributes V in the attribute priority list i And A i , V i Priority is greater than A i Th...

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Abstract

An object clustering method in situation assessment includes the steps: firstly, generating a property priority list and a clustering factor matrix; secondly, segmenting objects in a battlefield into clusters according to the first priority selected from the property priority list and deleting the selected priority from the property priority list; thirdly, judging whether the object quantity in the clusters is greater than the preset threshold value of the object quantity or not, if so, then continuously selecting a priority from the property priority list to segment the clusters, if not or the property priority list is empty, then performing clustering analysis on object data in the bottom clusters to generate mini-clusters according to the object location relationship; and finally, utilizing a fusion algorithm to fuse the mini-clusters, and then acquiring an object group. The object clustering method in the situation assessment overcomes defects in the object clustering and solves the key problem that accuracy and speed of object clustering are low, so that the battlefield situation assessment and policies made by the commander in the battlefield can be effectively supported.

Description

Technical field [0001] The invention relates to a method for grouping battlefield targets, in particular to a method for grouping targets in situation assessment. Background technique [0002] Due to the diversification of information manifestations in the battlefield, the complexity and uncertainty between the information and the huge amount of information are caused; however, the battlefield commander cannot process such a huge amount of information in real time, and it is difficult to learn from the huge amount of "noise" Useful information is obtained from ", which will lead to the appearance of "dazzling war" and "fog of war". In order to solve these two problems, a situation assessment was proposed. Among them, target grouping is one of the core technologies in situation assessment. The speed and accuracy of target grouping seriously affect the decision-making of battlefield commanders. Therefore, target grouping has become a hot issue that needs to be solved urgently. Su...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 覃征江子能卢正才张海生李凤翔
Owner TSINGHUA UNIV
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