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SONG Shasha,ZHAO Chaofang,AN Wei,LI Xiaofeng,WANG Chen. 2018. Analysis of impacting factors on polarimetric SAR oil spill detection. Acta Oceanologica Sinica, 37(11):77-87
Analysis of impacting factors on polarimetric SAR oil spill detection
多极化SAR溢油探测影响因素分析研究
Received:November 08, 2017  
DOI:10.1007/s13131-018-1335-9
Key words:multi-polarimetric SAR  oil spill  conformity coefficient  noise
中文关键词:  多极化SAR  溢油  一致性系数  噪声
基金项目:
Author NameAffiliationE-mail
SONG Shasha College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
Post-doctoral Station, China Offshore Environmental Services Ltd., Tianjin 300457, China 
 
ZHAO Chaofang College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266100, China 
zhaocf@ouc.edu.cn 
AN Wei Post-doctoral Station, China Offshore Environmental Services Ltd., Tianjin 300457, China  
LI Xiaofeng National Oceanic and Atmospheric Administration, Maryland 20740, USA  
WANG Chen College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China  
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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.
中文摘要:
      本文研究分析极化SAR溢油识别参数一致性系数(μ)、Muller矩阵参数(|C|,B0)、考虑反射对称性的特征值(λnos)及其与SAR图像观测条件、环境条件、成像噪声条件的关系。选择Radarsat-2数据对不同入射角、风速、噪声水平、海面现象(油膜、疑似现象)的极化特征进行了系统分析,比较了以一致性系数为代表的特征参数与SAR观测参数、环境参数、成像噪声水平的关系。分析结果表明:一致性系数不能简单的用于溢油探测,其在一定程度上表示了图像的信噪比水平。对于油膜和疑似现象,当信号低于噪声水平时,一致性系数为负值;信号高于噪声水平时,一致性系数为正值。对于信号低于噪声的低风区和生物油膜暗斑现象,一致性系数等极化特征无法将其与油膜区分开;信号高于噪声水平时,油膜、低风区和生物油膜疑似现象、清洁海面的一致性系数均为正值,油膜一致性系数最小,疑似现象其次,清洁海面最大。对于多极化SAR数据溢油探测来说,噪声影响非常重要。极化SAR数据溢油探测应在充分考虑噪声因素的基础上进行。
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