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
Author Affiliations
  • 1Nanjing Marine Radar Institute,Nanjing 211106,China
  • 2College of Internet of Things Engineering,Hohai University,Changzhou ,Jiangsu 213002,China
  • show less
    References(28)

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

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

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

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

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

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Aug. 11, 2021

    Accepted: Sep. 14, 2021

    Published Online: Apr. 8, 2022

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

    DOI:10.3788/gzxb20225103.0310006

    Topics