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Morphological based target enhancement algorithms to counter the hostile nuclear environment

机译:基于形态学的目标增强算法以应对敌对核环境

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It is noted that a necessary requirement of a strategic defense system is the detection of incoming nuclear warheads in an environment that may include nuclear detonations of undetected or missed target warheads. A computer model is described which simulates incoming warheads as distant endoatmospheric targets. A model of the expected electromagnetic noise present in the nuclear environment is developed; predicted atmospheric effects are included. Various morphological-based image-enhancement algorithms are examined with regard to their ability to suppress the noise and atmospheric effects of the nuclear environment. These algorithms are then tested, using the combined target and noise models, and evaluated in terms of noise removal and the ability to resolve closely spaced targets.
机译:应当指出,战略防御系统的必要要求是在可能包括未探测到或错过的目标弹头的核爆弹的环境中探测来袭的核弹头。描述了一种计算机模型,该模型将进入的战斗部模拟为遥远的大气层目标。建立了在核环境中存在的预期电磁噪声的模型;包括预计的大气影响。就抑制核环境的噪声和大气影响的能力,研究了各种基于形态学的图像增强算法。然后,使用组合的目标模型和噪声模型对这些算法进行测试,并根据噪声消除和分辨密集目标的能力进行评估。

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