Abstract
A new algorithm based on track-before-detect (TBD) technology is proposed for the detection of dim moving point targets of unknown position and velocity in a sequence of digital images collected from a staring sensor. The algorithm, using the transformation of the pixel statistics on a composite image produced by integrating a few differential images, then performs the detection process followed by the TBD target enhancement procedure. This algorithm is applied to a variety of image sequences with moving clutter backgrounds that are usually supposed to be non-Gaussian processes. Compared with other algorithms, the new algorithm is not only computationally simple, but also has high performance. Theoretical and experimental results are also given.
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.
