Remote Sensing Technology and Application, Volume. 40, Issue 1, 258(2025)

Daytime Sea Fog Recognition based on Multi-scale Feature Fusion Generation under Attention Mechanism

Yanhui HUANG, Randi FU*, Xuyuan FANG, Caoqian YIN, Gang LI, and Wei JIN
Author Affiliations
  • Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo351211, China
  • show less
    Figures & Tables(6)
    GAN-MFA network structure
    Pyramid syncopated attention mechanism structure
    ASPP Structural Diagram
    Comparison of sea fog recognition results of different network models
    • Table 1. Comparison of identification results of different network models

      View table
      View in Article

      Table 1. Comparison of identification results of different network models

      ModelCSI/%FAR/%POD/%
      UNet++75.4817.1690.16
      FCN70.3122.4489.49
      UNet78.5314.0190.64
      GAN-MFA83.5911.6194.16
    • Table 2. Comparison of different sea fog recognition algorithms

      View table
      View in Article

      Table 2. Comparison of different sea fog recognition algorithms

      ModelCSI/%FAR/%POD/%
      Threshold[18]45.0144.8175.16
      FCN-CRF[15]73.7617.6989.33
      GAN-MFA83.5911.6194.16
    Tools

    Get Citation

    Copy Citation Text

    Yanhui HUANG, Randi FU, Xuyuan FANG, Caoqian YIN, Gang LI, Wei JIN. Daytime Sea Fog Recognition based on Multi-scale Feature Fusion Generation under Attention Mechanism[J]. Remote Sensing Technology and Application, 2025, 40(1): 258

    Download Citation

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

    Category:

    Received: Jul. 21, 2022

    Accepted: --

    Published Online: May. 22, 2025

    The Author Email: Randi FU (furandi_ndu@163.com)

    DOI:10.11873/j.issn.1004-0323.2025.1.0258

    Topics