Abstract
We have developed an on-line system which automatically identifies ships observed in a rapidly updating sequence of range-Doppler images produced by inverse synthetic aperture radar (ISAR). In order to cope with the invariable noise due to the physics of imaging, we propose to employ a multiframe image processing algorithm which stably extracts the profile as a basic feature reflecting the entire characteristics of a target. For ship identification, representing the extracted profiles as high-dimension vectors, we adapt vector analysis using the recently proposed constrained mutual subspace method (CMSM). The system currently works on an ordinary PC at 5 frames/sec and achieves a feasible identification performance. The system is verified using simulated data.
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.
