Model based oil spill detection using polarimetric SAR
Model based oil spill detection using polarimetric SAR
复制标题
DOI：
10.1109/igarss.2012.6352270
复制
发表时间：
2012-07
期刊：
影响因子：
--
通讯作者：
Arnt-Børre Salberg;Ø. Rudjord;A. Solberg
中科院分区：
文献类型：
--
作者：
Arnt-Børre Salberg;Ø. Rudjord;A. Solberg
在本文中，我们提出了一种基于模型的方法，利用极化SAR数据的溢油检测。基本假设是，当假设布拉格散射机制时，共极化相位差为零。从这个假设，我们可以构建一个（线性）模型，并得出的功能，区分浮油从海水使用双极化（VV和HH）SAR数据。我们还调查了模型时，假设X-布拉格散射，并推导出一个功能的基础上的泡利分解是不变的倾斜角反射平面。在雷达卫星2号四极成像仪上对溢油探测方法进行了评价，该成像仪覆盖了挪威海上溢油演习中释放的各种类型的石油。实验结果表明，在所有基于特征的图像中，溢油都清晰可见。此外，特征图像具有比VV偏振SAR图像更均匀的背景，特别是抑制VV图像中存在的非浮油的基于Pauli的特征图像。
In this paper we propose a model-based oil spill detection approach using polarimetic SAR data. The underlying hypothesis is that the co-polarized phase difference is zero when assuming Bragg scattering mechanisms. From this hypothesis we may construct a (linear) model and derive features that discriminates oil slicks from sea water using dual-polarized (VV and HH) SAR data. We also investigate the model when assuming X-Bragg scattering, and derive a feature based on the Pauli decomposition that are invariant to the tilt angle reflection plane. The oil spill detection methodology is evaluated on a Radarsat-2 quad-pol image that covers various types of oil released in an oil-in-sea exercise in Norway. The results show that the oil spills are clearly visible in all of the derived feature-based images. Furthermore, the feature images have a more homogeneous background than the VV-polarized SAR image, in particular the Pauli-based feature image that suppresses a non-oil slick present in the VV-image.