Abstract
A novel algorithm based on third-order cumulant is proposed to detect a dim moving point target in IR image sequences with heavy background clutter. Based on the fact that the grey-scale value of a pixel in temporal profiles occurs fluctuation when a target passes by, this fluctuation can be viewed as a non-Gaussian weak transient signal, and its third-order cumulant is estimated as the detection statistic used in the hypothesis testing procedure on individual pixel temporal profiles. The computation simulations and numerical results show that the algorithm can effectively suppress heavy infrared background clutter and reliably detect dim targets with signal-to-clutter ratio (SCR) larger than 1
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
