Oil spill detection on X-band marine radar images based on sea clutter fitting model

被引:0
|
作者
Liu, Peng [1 ]
Liu, Bingxin [1 ]
Li, Ying [2 ]
Chen, Peng [1 ]
Xu, Jin [3 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Dalian Maritime Univ, Environm Informat Inst, Dalian 116026, Peoples R China
[3] Guangdong Ocean Univ, Maritime Coll, Zhanjiang 524088, Peoples R China
基金
中国国家自然科学基金;
关键词
X-band marine radar; Radar images; Oil spill detection; Sea clutter fitting; EXTRACTION;
D O I
10.1016/j.heliyon.2023.e20893
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Oil spills could cause great harm to the natural environment. The ability to identify them accurately is critical for prompt response and treatment. We proposed a sea clutter fitting model of marine radar images for oil spill detection. The model is derived from the geometric structure of the marine radar, the expression of marine radar received power, and the rough surface scattering model of the sea surface. In the denoised marine radar image, the sea clutter fitting model is used to detect coarse oil spills. Then the fine measurement is carried out by mean filter, the Otsu method, and noise reduction. The proposed oil spill detection method was used on radar images sampled after an oil spill accident happened in a coastal region in Dalian, China, on July 21, 2010. The proposed method can detect oil spills without human intervention, and the extracted oil spills are accurate and consistent with visual interpretation.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] A Method to Correct the Influence of Rain on X-Band Marine Radar Image
    Chen, Zhongbiao
    He, Yijun
    Zhang, Biao
    Ma, Yufei
    IEEE ACCESS, 2017, 5 : 25576 - 25583
  • [22] OBSERVATION OF TIDE FROM X-BAND MARINE RADAR IMAGE SEQUENCES
    Chen, Zhongbiao
    He, Yijun
    Pan, Jiayi
    Zhang, Biao
    Chu, Xiaoqing
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 2495 - 2497
  • [23] Support Tucker machines based marine oil spill detection using SAR images
    Ma, Liyong
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2016, 45 (11) : 1445 - 1449
  • [24] Wind Speed Estimation From X-Band Marine Radar Images Using Support Vector Regression Method
    Chen, Xinwei
    Huang, Weimin
    Yao, Guowei
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (09) : 1312 - 1316
  • [25] Wave Height and Period Estimation from X-Band Marine Radar Images Using Convolutional Neural Network
    Zuo, Shaoyan
    Wang, Dazhi
    Wang, Xiao
    Suo, Liujia
    Liu, Shuaiwu
    Zhao, Yongqing
    Liu, Dewang
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (02)
  • [26] Evaluation and Mitigation of Rain Effect on Wave Direction and Period Estimation From X-Band Marine Radar Images
    Yang, Zhiding
    Huang, Weimin
    Chen, Xinwei
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 (14) : 5207 - 5219
  • [27] Developing a Comprehensive Oil Spill Detection Model for Marine Environments
    Akhmedov, Farkhod
    Nasimov, Rashid
    Abdusalomov, Akmalbek
    REMOTE SENSING, 2024, 16 (16)
  • [28] Analysis of Significant Wave Height From X-Band Radar Images Based on Empirical Wavelet Transform
    Zuo, Shaoyan
    Wang, Dazhi
    Suo, Liujia
    Liu, Shuaiwu
    Zhao, Yongqing
    Liu, Dewang
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [29] Retrieval of Three-Dimensional Wave Surfaces from X-Band Marine Radar Images Utilizing Enhanced Pix2Pix Model
    Hou, Lingyi
    Wang, Xiao
    Yang, Bo
    Wei, Zhiyuan
    Sun, Yuwen
    Ma, Yuxiang
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (12)
  • [30] The Effect of Radar Ocean Surface Sampling on Wave Spectrum Estimation Using X-Band Marine Radar
    Al-Habashneh, Al-Abbass
    Moloney, Cecilia
    Gill, Eric W.
    Huang, Weimin
    IEEE ACCESS, 2018, 6 : 17570 - 17585