基于形态学的目标增强算法对抗敌对核环境

C. Wright, E. Delp, N. Gallagher
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引用次数: 1

摘要

有人指出,战略防御系统的一项必要要求是在可能包括未被发现或未命中的目标弹头核爆炸的环境中探测来袭核弹头。描述了一种将来袭弹头模拟为远距离大气层内目标的计算机模型。建立了核环境中预期电磁噪声的模型;预测的大气效应也包括在内。各种基于形态学的图像增强算法在抑制核环境的噪声和大气影响方面进行了检查。然后对这些算法进行测试,使用组合目标和噪声模型,并根据噪声去除和解析紧密间隔目标的能力进行评估。
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Morphological based target enhancement algorithms to counter the hostile nuclear environment
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.<>
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