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Small infrared target detection via multiscale kurtosis maps fusion
Electronics Letters ( IF 0.7 ) Pub Date : 2020-09-03 , DOI: 10.1049/el.2020.0701
He Wang , Yunhong Xin

In this Letter, a multiscale kurtosis maps fusion method is proposed for small infrared target detection. The authors have made two main contributions: first, they propose the scheme of using multiscale kurtosis maps to match the shape and the size of the small target; second, they present a dot product operation to achieve the fusion of multiscale kurtosis maps. Experimental results show that the presented method has a higher background suppression factor and signal-to-clutter ratio gain values than that of compared baseline methods, and it works effectively and more stably in complex backgrounds.

中文翻译:

基于多尺度峰态图融合的红外小目标检测

在本文中,提出了一种用于红外小目标检测的多尺度峰态图融合方法。作者做出了两个主要贡献:第一,他们提出了使用多尺度峰度图来匹配小目标的形状和大小的方案;其次,他们提出了一个点积操作来实现多尺度峰度图的融合。实验结果表明,与比较基线方法相比,所提出的方法具有更高的背景抑制因子和信杂比增益值,并且在复杂背景下更有效、更稳定地工作。
更新日期:2020-09-03
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