Abstract
ABSTRACTAutomatic target recognition (ATR) is a crucial application for synthetic aperture radar (SAR). This paper presents an ATR method with the scattering centre (SC) based on the world view vector (WVV) and the weighted bipartite graph model (WBGM). Targets are separated by the filter-based cluster size insensitive enhanced fuzzy c-mean cluster (csiEnFCM) algorithm before feature extraction. Later, WVV-based feature set is constructed with the extracted SCs. Subsequently, the WBGM is applied to recognize target by matching its feature set with templates. Experiments on the moving and stationary target recognition (MSTAR) dataset demonstrate that the proposed method performs well in ATR.
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.
