Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0415005(2022)

Marine Oil-Spill Detection in Multi-Polarization Image-Based SAR on Improved FCN

Yanling Du1, Jianhua Cui1, Quanmiao Wei2, and Dongmei Huang3、*
Author Affiliations
  • 1College of Information Technology, Shanghai Ocean University, Shanghai 201306, China
  • 2East China Sea Bureau of Ministry of Natural Resources, Shanghai 200136, China
  • 3Shanghai University of Electric Power, Shanghai 200090, China
  • show less
    References(21)

    [3] Xie G Q. Oil spill detection based on the compact polarimetric SAR[D](2018).

    [5] Bern T I, Wahl T, Andersen T et al. Oil spill detection using satellite based SAR-experience from a field experiment[J]. Photogrammetric Engineering & Remote Sensing, 59, 3, 423-428(1993).

    [14] Lu X W, Liu H, Shang Z H. NVST image denoising based on self-supervised deep learning[J]. Laser & Optoelectronics Progress, 58, 0610018(2021).

    [15] Tian S, Ren Y F, Shao X Y et al. Multi-focus image fusion with filter operator and double scale decomposition[J]. Laser & Optoelectronics Progress, 58, 0610010(2021).

    [16] Shao J T, Du C Q, Zou B. Lidar ground segmentation method based on point cloud cluster combination feature[J]. Laser & Optoelectronics Progress, 58, 0428001(2021).

    [21] Fu H T, Qin P. Comparison of sea surface oil film identification in different polarization-based GF-3 SAR images: a case study of the“Sangji”accident[J]. Ocean Development and Management, 36, 54-56(2019).

    Tools

    Get Citation

    Copy Citation Text

    Yanling Du, Jianhua Cui, Quanmiao Wei, Dongmei Huang. Marine Oil-Spill Detection in Multi-Polarization Image-Based SAR on Improved FCN[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0415005

    Download Citation

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

    Category: Machine Vision

    Received: Mar. 22, 2021

    Accepted: Apr. 14, 2021

    Published Online: Feb. 15, 2022

    The Author Email: Huang Dongmei (dmhuang@shou.edu.cn)

    DOI:10.3788/LOP202259.0415005

    Topics