Target decomposition and recognition from wide-angle SAR imaging based on a Gaussian amplitude-phase model
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Wide-angle synthetic aperture radar (W-SAR) imaging accounts for multi-azimuthal scattering and is feasible for retrieving more comprehensive features of complex targets. Because a typical target is seen as composed of its components (typically, some simple geometric objects), a Gaussian amplitude-phase (GAP) model has been developed for the analysis of multi-azimuthal scattering from these objects. Based on the time-frequency analysis of wide-angle scattering, the parameters of the GAP model were estimated, including the Gaussian variance, the surface curvature, and the number of objects in all imaged pixels. Numerical simulations and real measurements demonstrate the capability of the GAP model for decomposing and recognizing complex electric-large targets.
Keywordswide-angle SAR Gaussian amplitude-phase time-frequency target decomposition target recognition
This work was supported by National Natural Science Foundation of China (Grant No. 61471127) and Shanghai Yangpu Ding-Yuan Foundation. Y. C. Li is grateful to Dr. A.S. Khwaja for useful discussion on GAP.
- 1.Moses R L, Potter L C, Çetin M. Wide-angle SAR imaging. In: Proceedings of SPIE in Algorithms for Synthetic Aperture Radar Imagery XI, Orlando, 2004. 5427: 164–175Google Scholar
- 6.Duquenoy M, Ovarlez J-P, Ferro-Famil L, et al. Characterization of scatterers by their energetic dispersive and anisotropic behaviors in high-resolution laboratory radar imagery. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec, 2014. 4715–4718Google Scholar
- 21.Naidu K, Lin L. Data Dome: full k-space sampling data for high-frequency radar research. In: Proceedings of SPIE in Algorithms for Synthetic Aperture Radar Imagery XI, Orlando, 2004. 5427: 200–207Google Scholar