Adaptive Morphological Method for Clutter Elimination to Enhance and Detect Infrared Small Target

X. Bai, F. Zhou, Yongchun Xie, Ting Jin
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引用次数: 6

Abstract

To overcome the affection of heavy clutter and dim target intensity on small target detection, an efficient morphological method through clutter elimination is proposed. The proposed adaptive method imports the property of the target region into the morphological operations, which apparently improves the performance of the method and can largely enhance the dim small target. So, the target can be easily detected through a target detection algorithm, which is proposed based on the adaptive morphological method for clutter elimination. Experiments show that the proposed method can accurately eliminate the clutter background, and thus largely enhance and efficiently detect the small target.
基于自适应形态学的杂波消除方法增强和检测红外小目标
为了克服重杂波和弱目标强度对小目标检测的影响,提出了一种有效的消杂波形态学方法。提出的自适应方法将目标区域的特性引入到形态学运算中,明显提高了方法的性能,对弱小目标有较大的增强作用。因此,提出了一种基于自适应形态学方法的目标检测算法,可以方便地检测到目标。实验表明,该方法可以准确地消除杂波背景,从而大大增强和有效地检测小目标。
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