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Method of determining probability of target detection in a visually cluttered scene

机译:确定视觉混乱场景中目标检测概率的方法

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 &Dgr;T metrics are applied to the blocked scenes to derive various &Dgr;T values for each scene. Factor analysis is then used on the various . DELTA.T values to derive a relative &Dgr;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 &Dgr;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.
机译:确定红外图像像素化场景中目标检测概率P(t)的方法包括将场景分为tar块和背景块。多个& T&度量被应用于被阻止的场景,以导出每个场景的各种& T&值。然后对各种因素使用因子分析。 DELTA.T值可得出每个场景的相对DT。根据多个混乱度量,将场景再次划分为像素单元。这些混乱度量用于为每个场景导出各种混乱值。对各种杂波值使用因子分析,以得出每个场景的相对杂波值。相对ΔT值和相对杂波值用于确定场景中目标的检测概率。基于检测的概率,选择最佳场景或场景集。

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