Characterization of Marine Surface Slicks by Radarsat-2 Multipolarization Features
Characterization of Marine Surface Slicks by Radarsat-2 Multipolarization Features
复制标题
DOI：
10.1109/tgrs.2013.2287916
复制
发表时间：
2014-09
影响因子：
8.2
通讯作者：
S. Skrunes;C. Brekke;T. Eltoft
中科院分区：
文献类型：
--
作者：
S. Skrunes;C. Brekke;T. Eltoft
本文研究了极化C波段合成孔径雷达(SAR)数据的表面光滑性特征。其目的是确定最强大的多极化SAR描述符来区分矿物油溢出和生物来源的浮油。对八种常见的多极化特征进行了系统的比较。这项分析是基于我们2011年6月在斯塔万格西北的弗利格油田进行大规模漏油演习时收集的数据进行的。在这项实验中，在精细的四偏振Radarsat-2采集中，同时捕获了受控的漏油和模拟的类似物。探讨了仅由共振复散射系数得到的多极化特性。我们发现，从该数据集中提取的两个最强大的多极化特征是几何强度和共化叉积的实部，几何强度是基于相干矩阵的行列式测量的组合强度，而共化叉积的实部与目标的散射行为有关。我们表明，这两个特征可以区分模拟的生物浮油和矿物油类型，如Balder和Oseberg Blend，并且区分能力似乎随着时间的推移而持久。
In this paper, we study surface slick characterization in polarimetric C-band synthetic aperture radar (SAR) data. The objective is to identify the most powerful multipolarization SAR descriptors for mineral oil spill versus biogenic slick discrimination. A systematic comparison of eight well-known multipolarization features is provided. The analysis is performed on data that we collected during a large-scale oil spill exercise at the Frigg field situated northwest of Stavanger, in June 2011. Controlled oil spills and simulated look-alikes were simultaneously captured within fine quad-polarization Radarsat-2 acquisitions during this experiment. Multipolarization features derived from only the copolarized complex scattering coefficients are explored. We find that the two most powerful multipolarization features extracted from this data set are the geometric intensity, measuring the combined intensity based on the determinant of the coherency matrix, and the real part of the copolarization cross product, which is related to the scattering behavior of the target. We show that these two features can distinguish between the simulated biogenic slicks and mineral oil types such as Balder and Oseberg blend, and that the discriminative power seems to be persistent with time.