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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >A Multifrequency Polarimetric SAR Processing Chain to Observe Oil Fields in the Gulf of Mexico
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A Multifrequency Polarimetric SAR Processing Chain to Observe Oil Fields in the Gulf of Mexico

机译：观察墨西哥湾油田的多频极化SAR处理链

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摘要

Within the National Environmental Satellite, Data, and Information Service, National Oceanic and Atmospheric Administration, multiplatform synthetic aperture radar (SAR) imagery is being used to aid post hurricane and postaccident response efforts in the Gulf of Mexico, such as in the case of the recent Deepwater Horizon oil spill. The main areas of interest related to such disasters are the following: (1) to identify oil pipeline leaks and other oil spills at sea and (2) to detect man-made metallic targets over the sea. Within the context of disaster monitoring and response, an innovative processing chain is proposed to observe oil fields (i.e., oil spills and man-made metallic targets) using both Land C-band full-resolution and fully polarimetric SAR data. The processing chain consists of two steps. The first one, based on the standard deviation of the phase difference between the copolarized channels, allows oil monitoring. The second one, based on the different symmetry properties that characterize man made metallic targets and natural distributed ones, allows man made metallic target observation. Experiments, accomplished over single-look complex L-band Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) and C-band RADARSAT-2 fully polarimetric SAR data gathered in the Gulf of Mexico and related to the Deepwater Horizon accident, show the effectiveness of the proposed approach. Furthermore, the proposed approach, being able to process both Land C-band fully polarimetric and full resolution SAR measurements, can take full benefit of both the ALOS PALSAR and RADARSAT-2 missions, and therefore, it allows enhancing the revisit time and coverage which are very critical issues in oil field observation.
机译：在国家环境卫星，数据和信息服务局，美国国家海洋与大气管理局内部，多平台合成孔径雷达（SAR）影像被用于辅助飓风和墨西哥湾的事后响应工作，例如在墨西哥湾。最近的Deepwater Horizo​​n漏油事件。与此类灾难相关的主要关注领域如下：（1）识别海上的石油管道泄漏和其他溢油；（2）识别海上的人造金属目标。在灾害监测和响应的背景下，提出了一条创新的处理链，以使用Land C波段全分辨率和全极化SAR数据来观察油田（即溢油和人造金属目标）。处理链包括两个步骤。第一个基于同极化通道之间相位差的标准偏差，可以监控油。第二种是基于人造金属靶和自然分布靶的不同对称特性，允许观察人造金属靶。实验是在墨西哥湾收集的与复杂的单眼复杂L波段高级陆地观测卫星（ALOS）相控阵型L波段合成孔径雷达（PALSAR）和C波段RADARSAT-2全极化SAR数据相关的深水地平线事故证明了该方法的有效性。此外，所提出的方法能够处理陆地C波段全极化和全分辨率SAR测量，可以充分利用ALOS PALSAR和RADARSAT-2任务，因此，它可以增加重访时间和覆盖范围，是油田观测中非常关键的问题。

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