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多极化SAR溢油探测影响因素分析研究
引用本文:宋莎莎,赵朝方,安伟,李晓峰,王臣.多极化SAR溢油探测影响因素分析研究[J].海洋学报(英文版),2018,37(11):77-87.
作者姓名:宋莎莎  赵朝方  安伟  李晓峰  王臣
作者单位:中国海洋大学 信息科学与工程学院 青岛 266100;中海石油环保服务(天津)有限公司 博士后站 天津 300457,中国海洋大学 信息科学与工程学院 青岛 266100;青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室 青岛 266100,中海石油环保服务(天津)有限公司 博士后站 天津 300457,国家大气海洋管理局, 美国马里兰州 20740,中国海洋大学 信息科学与工程学院 青岛 266100
摘    要:Polarimetric synthetic aperture radar(SAR) oil spill detection parameters conformity coefficient(μ), Muller matrix parameters(|C|, B_0), the eigenvalues of simplified coherency matrix(λ_(nos)) and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena(oil slick and look likes). The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches(low wind and biogenic slick) with the signal below the noise,polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes(low wind and biogenic slick) and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polarimetric SAR data oil spill detection should be carried out on the basis of noise consideration.

关 键 词:多极化SAR  溢油  一致性系数  噪声
收稿时间:2017/11/8 0:00:00

Analysis of impacting factors on polarimetric SAR oil spill detection
SONG Shash,ZHAO Chaofang,AN Wei,LI Xiaofeng and WANG Chen.Analysis of impacting factors on polarimetric SAR oil spill detection[J].Acta Oceanologica Sinica,2018,37(11):77-87.
Authors:SONG Shash  ZHAO Chaofang  AN Wei  LI Xiaofeng and WANG Chen
Institution:1.College of Information Science and Engineering,Ocean University of China,Qingdao,China;2.Post-doctoral Station,China Offshore Environmental Services Ltd.,Tianjin,China;3.Laboratory for Regional Oceanography and Numerical Modeling,Pilot National Laboratory for Marine Science and Technology (Qingdao),Qingdao,China;4.National Oceanic and Atmospheric Administration,Maryland,USA
Abstract:Polarimetric synthetic aperture radar (SAR) oil spill detection parameters conformity coefficient (μ), Muller matrix parameters (|C|, B0), the eigenvalues of simplified coherency matrix (λnos) and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena (oil slick and look likes). The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches (low wind and biogenic slick) with the signal below the noise, polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes (low wind and biogenic slick) and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polarimetric SAR data oil spill detection should be carried out on the basis of noise consideration.
Keywords:multi-polarimetric SAR  oil spill  conformity coefficient  noise
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