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1. 发明授权

US6081753A Method of determining probability of target detection in a visually cluttered scene 失效
标题翻译：在视觉上混乱的场景中确定目标检测概率的方法
公开(公告)号：US6081753A
公开(公告)日：2000-06-27
申请号：US6529
申请日：1998-01-13
申请人： Thomas J. Meitzler , Harpreet Singh
发明人： Thomas J. Meitzler , Harpreet Singh
IPC分类号： G06K9/32 , G06K9/62 , G06K9/68 , G09K9/62 , G06F19/00
CPC分类号： G06K9/6293 , G06K9/3241
摘要： A method to determine the probability of detection, P(t), of targets within infrared-imaged, pixelated scenes includes dividing the scenes into tar blocks and background blocks. A plurality of .DELTA.T metrics are applied to the blocked scenes to derive various .DELTA.T values for each scene. Factor analysis is then used on the various .DELTA.T values to derive a relative .DELTA.T for each scene. The scenes are divided again, into cells of pixels, in accordance with a plurality of clutter metrics. These clutter metrics are used to derive various clutter values for each scene. Factor analysis is used on the various clutter values to derive relative clutter values for each scene. The relative .DELTA.T values and the relative clutter values are used in determining the probabilities of detection of the targets in the scenes. Based on the probabilities of detection, the optimum scene or set of scenes is selected.
摘要翻译：确定红外成像，像素化场景中目标的检测概率P（t）的方法包括将场景划分为目标块和背景块。多个DELTA T度量被应用于被阻止的场景以导出每个场景的各种DELTA T值。然后在各种DELTA T值上使用因子分析，以得出每个场景的相对DELTA T。根据多个杂波度量，将场景再次分割成像素的单元。这些杂波度量用于为每个场景导出各种杂波值。因子分析用于各种杂波值，以导出每个场景的相对杂波值。相对DELTA T值和相对杂波值用于确定场景中目标物的检测概率。基于检测的概率，选择最佳场景或场景集。

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