Research on polarization of oil spill and detection

被引:9
|
作者
Cai Yang [1 ]
Zou Yarong [2 ,3 ]
Liang Chao [2 ,3 ]
Zou Bin [2 ,3 ]
机构
[1] State Ocean Adm, South China Sea Forecast Ctr, Guangzhou 510310, Guangdong, Peoples R China
[2] Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
[3] State Oceam Adm, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
oil spill; polarization; detection; SAR;
D O I
10.1007/s13131-015-0817-x
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
The SAR (Synthetic Aperture Radar) has the capabilities for all-weather day and night use. In the case of determining the effects of oil spill dumping, the oil spills areas are shown as dark spots in the SAR images. Therefore, using SAR data to detect oil spills is becoming progressively popular in operational monitoring, which is useful for oceanic environmental protection and hazard reduction. Research has been conducted on the polarization decomposition and scattering characteristics of oil spills from a scattering matrix using all-polarization of the SAR data, calculation of the polarization parameters, and utilization of the CPD (Co-polarized Phase Difference) of the oil and the sea, in order to extract the oil spill information. This method proves to be effective by combining polarization parameters with the characteristics of oil spill. The results show that when using Bragg, the oil spill backscattering machine with Enopy and a mean scatter a parameter. The oil spill can be successfully identified. However, the parameter mechanism of the oil spill remains unclear. The use of CPD can easily extract oil spill information from the ocean, and the polarization research provides a base for oil spill remote sensing detection.
引用
收藏
页码:84 / 89
页数:6
相关论文
共 50 条
  • [21] A Multifamily GLRT for Oil Spill Detection
    De Maio, Antonio
    Orlando, Danilo
    Pallotta, Luca
    Clemente, Carmine
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (01): : 63 - 79
  • [22] Photoacoustic Detection and Monitoring of Oil Spill
    Bescond, Christophe
    Kruger, Silvio E.
    Levesque, Daniel
    Brosseau, Charles
    45TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOL 38, 2019, 2102
  • [23] Simulation Investigation of Multi-Angle Polarization Reflection Characteristics for Marine Oil Spill Detection
    Luan Xiaoning
    Liao Yukun
    Zhuo Kun
    Yan Daoxia
    Mu Bing
    Qin Ping
    Li Qian
    Kang Ying
    ACTA OPTICA SINICA, 2023, 43 (06)
  • [24] An Improved Method for Oil Spill Detection
    Wu, Qianyu
    Zhang, Xinyue
    Zhang, Xudong
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2018, : 41 - 45
  • [25] Advancements in Crude Oil Spill Remediation Research After the Deepwater Horizon Oil Spill
    Emmanuel Nyankson
    Dylan Rodene
    Ram B. Gupta
    Water, Air, & Soil Pollution, 2016, 227
  • [26] Advancements in Crude Oil Spill Remediation Research After the Deepwater Horizon Oil Spill
    Nyankson, Emmanuel
    Rodene, Dylan
    Gupta, Ram B.
    WATER AIR AND SOIL POLLUTION, 2016, 227 (01):
  • [27] BRRDF Simulation Research on Detection Parameters of Oil-in-Water Emulsion of Oil Spill on Sea Surface
    Zhang Xiaodan
    Kong Deming
    Yuan Li
    Kong Dehan
    Kong Lingfu
    Jia Haiyang
    ACTA OPTICA SINICA, 2020, 40 (17)
  • [28] OIL SPILL DETECTION TECHNIQUE WITH AUTOMATIC UPDATING USING DEEP LEARNING AND OIL SPILL INDEX
    Shin, Dae-Woon
    Yang, Chan-Su
    Choi, Won-Jun
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 4019 - 4022
  • [29] Adaptive Threshold from the Sentinel-2 Oil Spill Index for Oil Spill Detection
    Sulma, Sayidah
    Prayogo, Teguh
    Hartuti, Maryani
    Afgatiani, Pingkan Mayestika
    Herdanis, Chatra
    Wijaya, Agung Dwi
    Parwati, Ety
    Kusuma, Fajar Bahari
    Susantoro, Tri Muji
    Faristyawan, Rizky
    EIGHTH GEOINFORMATION SCIENCE SYMPOSIUM 2023: GEOINFORMATION SCIENCE FOR SUSTAINABLE PLANET, 2024, 12977
  • [30] Exploring the Potential of Optical Polarization Remote Sensing for Oil Spill Detection: A Case Study of Deepwater Horizon
    Zhang, Zihan
    Yan, Lei
    Jiang, Xingwei
    Ding, Jing
    Zhang, Feizhou
    Jiang, Kaiwen
    Shang, Ke
    REMOTE SENSING, 2022, 14 (10)