Title :
Radar automatic target recognition based on InISAR images
Author :
Li, Liya ; Yuan, Weiming ; Liu, Hongwei ; Chen, Bo ; Wu, Shunjun
Author_Institution :
Xidian Univ., Xi´´an
Abstract :
A novel interferometric inverse synthetic aperture radar (InlSAR) imaging method, include an efficient phase unwrapping approach, is proposed, which can work very well under very low signal noise ratio condition. Based on which, an InlSAR image based target recognition method are proposed. The rotation and scale invariant features are extracted from the transformed InlSAR images, namely, the polar images. The simulation results are provided to show the efficiency of the proposed methods. In addition, some system parameters, such as baseline length, target aspect, target speed, etc, are analyzed from the viewpoint of recognition performance.
Keywords :
radar imaging; radar target recognition; synthetic aperture radar; InlSAR image based target recognition method; interferometric inverse synthetic aperture radar imaging method; polar images; radar automatic target recognition; very low signal noise ratio condition; Feature extraction; Geometry; Inverse synthetic aperture radar; Phase noise; Radar imaging; Radar scattering; Radar signal processing; Signal to noise ratio; Synthetic aperture radar; Target recognition;
Conference_Titel :
Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-1188-7
Electronic_ISBN :
978-1-4244-1188-7
DOI :
10.1109/APSAR.2007.4418659