Acta Photonica Sinica, Volume. 51, Issue 3, 0310006(2022)

Nonlinear Reconstruction for Target Density Based on Randomly Perturbed Optimization and Multi-models Fusion

Jinxin XU1...2, Qingwu LI2,*, Zhiqiang GUAN1 and Xiaolin WANG2 |Show fewer author(s)
Author Affiliations
  • 1Nanjing Marine Radar Institute,Nanjing 211106,China
  • 2College of Internet of Things Engineering,Hohai University,Changzhou ,Jiangsu 213002,China
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    References(28)

    [1] Jiangjun SHI, Jun LIU, Jin LIU et al. Factors affecting determination of optical path in radiography. High Power Laser and Particle Beams, 16, 1067-1070(2004).

    [6] J M BARDSLEY, A SOLONEN. Randomize-then-optimize: a method for sampling from posterior distributions in nonlinear inverse problems. SIAM Journal on Scientific Computing, 36, 1895-1910(2015).

    [7] J M BARDSLEY, T G CUI. A metropolis-hastings-within-Gibbs sampler for nonlinear hierarchical- Bayesian inverse problems(2017).

    [19] Yuefeng JING. Investigation on radiographic image reconstruction based on CCG(2005).

    [28] Jiayu WANG, Jinxin XU, Qingwu LI. X-Ray image reconstruction based on hierarchical model and low-rank arrpoximation. Laser & Optoelectronics Progress, 58, 0610004(2021).

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    Jinxin XU, Qingwu LI, Zhiqiang GUAN, Xiaolin WANG. Nonlinear Reconstruction for Target Density Based on Randomly Perturbed Optimization and Multi-models Fusion[J]. Acta Photonica Sinica, 2022, 51(3): 0310006

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    Paper Information

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    Received: Aug. 11, 2021

    Accepted: Sep. 14, 2021

    Published Online: Apr. 8, 2022

    The Author Email: LI Qingwu (li_qingwu@163.com)

    DOI:10.3788/gzxb20225103.0310006

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