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Misregistration effects on multiple scene clutter rejection

机译:配准错误对多场景杂波抑制的影响

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Abstract: In target detection using multiple scene clutter rejection, pixel data from separate observations of the same scene are used to reduce or remove the background clutter. This is generally accomplished by registering the scene (converting onserved electromagnetic inputs to pixel vector signals), and filtering the vectors via algorithmic processing. When a scene is misregistered, its pixels are mislocated in the observation vector, leading to processing errors that degrade target detection. In this paper misregistration degradation is evaluated for several basic cases, and used to scope the allowable alignment errors that can be tolerated from scene to scene.!2
机译:摘要:在使用多个场景杂波抑制的目标检测中,来自同一场景的单独观察的像素数据用于减少或消除背景杂波。通常通过注册场景(将保留的电磁输入转换为像素矢量信号)并通过算法处理对矢量进行滤波来实现。场景配准错误时,其像素在观察向量中的位置不正确,从而导致处理错误,从而降低目标检测的质量。在本文中,针对几种基本情况评估了套准降低的情况,并用于确定场景之间可容许的对准误差。!2

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