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本文的主要贡献是引入了一个建立在Pontryagin最小原理和不变嵌入法(此法也用于前向红外图象序列的空间滤波)基础之上的新的非线性滤波。这种滤波被用来改善每帧图象的信噪比。目标中心是用不同的方法估计的。用蒙特卡罗法模拟证明,所提的方法和相关算法比较,目标中心的估计精度平均改善100％。
The main contribution of this paper is the introduction of a new nonlinear filter based on the Pontryagin minimum principle and invariant embedding (this method is also used for spatial filtering of forward infrared image sequences). This filtering is used to improve the signal-to-noise ratio of each frame of image. The target center is estimated in different ways. Monte Carlo simulation shows that the proposed method improves the estimation accuracy of the target center by 100% on average compared with the related algorithms.