• Electronics Optics & Control
  • Vol. 29, Issue 3, 75 (2022)
ZHOU Peng1, LIU Wei2, CHEN Yong3, LIU Zhanhe1, MIAO Nan1, and LI Yao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.03.015 Cite this Article
    ZHOU Peng, LIU Wei, CHEN Yong, LIU Zhanhe, MIAO Nan, LI Yao. Convex Optimization SAR Based Image Inversion and Reconstruction for Irregular High-Rise Buildings in Urban Area[J]. Electronics Optics & Control, 2022, 29(3): 75 Copy Citation Text show less

    Abstract

    Aiming at 3D imaging algorithms for irregular high-rise buildings in urban areas,a GEO SAR reconstruction algorithm for complex and irregular buildings is optimized based on the Attributed Scattering Center (ASC) model.The Beidou satellite is used as a radiation source,the airborne receiver used as the signal receiving platform,and the reflected GNSS signal as the echo signal.An optimization model of convex optimized parameters is established, and an iterative method based on variable division and augmented Lagrangian technique is proposed.Echo simulation and imaging processing are implemented based on the GEO SAR system,and TeslaK20C simulation platform is used to complete the building imaging processing.The simulation results show that the generated images can reflect the characteristics of the building structure and the difference in scattering intensity,and have good accuracy,completeness and visibility.It proves that the constructed high-rise building target model can be applied to the simulation verification of the GEO SAR imaging system.
    ZHOU Peng, LIU Wei, CHEN Yong, LIU Zhanhe, MIAO Nan, LI Yao. Convex Optimization SAR Based Image Inversion and Reconstruction for Irregular High-Rise Buildings in Urban Area[J]. Electronics Optics & Control, 2022, 29(3): 75
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