SAR polarimetry to observe oil spills
SAR polarimetry to observe oil spills
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DOI：
10.1109/tgrs.2006.888097
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发表时间：
2007-02-01
影响因子：
8.2
通讯作者：
Tranfaglia, Massimo
中科院分区：
文献类型：
--
作者：
Migliaccio, Maurizio;Gambardella, Attilio;Tranfaglia, Massimo
完成了利用极化合成孔径雷达（SAR）数据进行海上溢油观测的研究。它是基于使用极化恒定虚警率滤波器检测SAR图像的暗补丁。然后，利用目标分解定理来区分溢油和外观相似。对1994年10月SIR-C/X-SAR使命期间获得的极化SAR数据进行了实验。在美国国家航空和航天局喷气推进实验室对数据进行了处理和校准，结果表明新的偏振方法能够辅助分类。
A study on sea oil spill observation by means of polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on the use of a polarimetric constant false alarm rate filter to detect dark patches over SAR images. Then, the target decomposition theorem is exploited to distinguish oil spills and look-alikes. Experiments are conducted on polarimetric SAR data acquired during the SIR-C/X-SAR mission on October 1994. The data were processed and calibrated at the Jet Propulsion Laboratory, National Aeronautics and Space Administration, Results show that the new polarimetric approach is able to assist classification.