| CAI Yang,ZOU Yarong,LIANG Chao,ZOU Bin.Research on polarization of oil spill and detection[J].Acta Oceanologica Sinica,2016,35(3):84-89 |
| 海上溢油极化特征及其探测研究 |
| Research on polarization of oil spill and detection |
| 投稿时间：2014-10-21 修订日期：2015-03-03 |
| DOI：10.10.1007/s13131-015-0817-x |
| 中文关键词: 溢油 极化 特征 探测 SAR |
| 英文关键词:oil spill polarization detection SAR |
| 基金项目: |
| 作者 | 单位 | E-mail | | 蔡扬 | 国家海洋局南海预报中心, 广州 510310 | | | 邹亚荣 | 国家卫星海洋应用中心, 北京 100081
Key Laboratory of Space Ocean Remote Sensing and Application, State Oceamic Administration, Beijing 100081, China | zyr@mail.nsoas.org.cn | | 梁超 | 国家卫星海洋应用中心, 北京 100081
Key Laboratory of Space Ocean Remote Sensing and Application, State Oceamic Administration, Beijing 100081, China | | | 邹斌 | 国家卫星海洋应用中心, 北京 100081
Key Laboratory of Space Ocean Remote Sensing and Application, State Oceamic Administration, Beijing 100081, China | |
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| 中文摘要: |
| 合成孔径雷达SAR(Synthetic Aperture Radar)具有全天候、受天气影响小、对溢油较为明显的探测特点,已在遥感监测业务系统中得到了广泛的应用,因此,利用卫星遥感技术及时、准确全面地监测海洋溢油污染,积极采取清除和预防措施遥感技术及时、准确全面地监测海洋溢油污染,对于保护海洋环境与海洋防灾减,已是刻不容缓的重要工作。采用全极化Radarsat-2数据,针对海上溢油进行了极化分解研究,从溢油的散射矩阵入手,研究极化SAR电磁散射特征,探索溢油散射机理,分析溢油的极化散射特性,建立针对溢油的极化SAR特征谱,计算溢油极化参数,开展溢油与海水的相位差(CPD)分析,从而研究溢油的散射特征。溢油的散射表现为平面散射,极化参数熵(H)、散射角(α)以及建立的特征谱能对溢油有较好的反应,而反熵(A)等参数谱对于溢油的表现并不明显,计算的相位差(CPD)能从海水中提取出溢油信息,极化参数研究为溢油的遥感检测提供科学依据。 |
| 英文摘要: |
| The SAR (Synthetic Aperture Radar) has the capabilities for all-weather day and night use. In the case of determining the effects of oil spill dumping, the oil spills areas are shown as dark spots in the SAR images. Therefore, using SAR data to detect oil spills is becoming progressively popular in operational monitoring, which is useful for oceanic environmental protection and hazard reduction. Research has been conducted on the polarization decomposition and scattering characteristics of oil spills from a scattering matrix using all-polarization of the SAR data, calculation of the polarization parameters, and utilization of the CPD (Co-polarized Phase Difference) of the oil and the sea, in order to extract the oil spill information. This method proves to be effective by combining polarization parameters with the characteristics of oil spill. The results show that when using Bragg, the oil spill backscattering machine with Enopy and a mean scatter α parameter. The oil spill can be successfully identified. However, the parameter mechanism of the oil spill remains unclear. The use of CPD can easily extract oil spill information from the ocean, and the polarization research provides a base for oil spill remote sensing detection. |
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