Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Acta Optica Sinica, Volume. 44, Issue 12, 1228009(2024)

Method for Cloud Removal from Optical Remote-Sensing Image Based on Latent Diffusion Model

Hao Hu, Jiatian Li*, Xiaohui A**, Ye Duan, Jingjing Wei, and Jiayin Liu
Author Affiliations
  • Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
    Equations (0)
    References (30)
    Tools
    Paper Information
    Topics
    Figures & Tables(13)
    LDMCR model diagram

    Fig. 1. LDMCR model diagram

    Download full size
    GLUFFN structure diagram

    Fig. 2. GLUFFN structure diagram

    Download full size
    transformer block structure diagram

    Fig. 3. transformer block structure diagram

    Download full size
    Structure diagram of proposed noise estimation network

    Fig. 4. Structure diagram of proposed noise estimation network

    Download full size
    Network structure

    Fig. 5. Network structure

    Download full size
    Dataset display

    Fig. 6. Dataset display

    Download full size
    Comparison of images before and after perceptual compression

    Fig. 7. Comparison of images before and after perceptual compression

    Download full size
    Experimental results on STGAN test set

    Fig. 8. Experimental results on STGAN test set

    Download full size
    Experimental results on SEN12MS-CR Winter test set

    Fig. 9. Experimental results on SEN12MS-CR Winter test set

    Download full size

    • Table 1. Comparison of cloud removal effect on STGAN test set

      View table

      Table 1. Comparison of cloud removal effect on STGAN test set

      MethodSSIMPSNR
      DCP0.4419.665
      CycleGAN0.60120.187
      SPAGAN0.74124.992
      MGAN0.56812.560
      LDMCR（our method）0.75926.706

    • Table 2. Comparison of cloud removal effect on SEN12MSCR Winter test set

      View table

      Table 2. Comparison of cloud removal effect on SEN12MSCR Winter test set

      MethodSSIMPSNR
      DCP0.56617.177
      CycleGAN0.73521.760
      SPAGAN0.75925.674
      MGAN0.63519.775
      LDMCR（our method）0.79828.779

    • Table 3. Ablation experimental results of noise estimation network

      View table

      Table 3. Ablation experimental results of noise estimation network

      ModelSSIMPSNR
      SA+GLUFFN0.76626.124
      XCA+MLP0.74324.442
      XCA+GLUFFN0.76126.109

    • Table 4. Comparison of cloud removal effects of different loss

      View table

      Table 4. Comparison of cloud removal effects of different loss

      Loss typeSSIMPSNR
      L20.74524.808
      L2+LSSIM0.76624.850
    Tools

    Get Citation

    Copy Citation Text

    Hao Hu, Jiatian Li, Xiaohui A, Ye Duan, Jingjing Wei, Jiayin Liu. Method for Cloud Removal from Optical Remote-Sensing Image Based on Latent Diffusion Model[J]. Acta Optica Sinica, 2024, 44(12): 1228009

    Download Citation

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

    Category: Remote Sensing and Sensors

    Received: Aug. 31, 2023

    Accepted: Dec. 25, 2023

    Published Online: Jun. 12, 2024

    The Author Email: Li Jiatian (ljtwcx@163.com), A Xiaohui (1665369329@qq.com)

    DOI:10.3788/AOS231495

    CSTR:32393.14.AOS231495

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology