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Target decomposition and recognition from wide-angle SAR imaging based on a Gaussian amplitude-phase model

  • Yongchen Li
  • Ya-Qiu JinEmail author
Research Paper

Abstract

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.

Keywords

wide-angle SAR Gaussian amplitude-phase time-frequency target decomposition target recognition 
062305 

Notes

Acknowledgements

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.

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Copyright information

© Science China Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Key Laboratory for Information Science of Electromagnetic WavesFudan UniversityShanghaiChina

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