Open AccessSmall infrared target detection via multiscale kurtosis maps fusion
Author(s) -
Wang He,
Xin Yunhong
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2020.0701
Subject(s) - kurtosis , clutter , fusion , pattern recognition (psychology) , artificial intelligence , computer science , infrared , sensor fusion , algorithm , radar , mathematics , physics , statistics , optics , telecommunications , linguistics , philosophy
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.