| 基于极化参数的SVM海上溢油识别 |
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| 引用本文： | 邹亚荣,梁超,曾韬.基于极化参数的SVM海上溢油识别[J].海洋学研究,2013,31(3):71-75. |
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| 作者姓名： | 邹亚荣 梁超 曾韬 |
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| 作者单位： | 国家卫星海洋应用中心,北京 100081 |
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| 基金项目： | 国家海洋公益性行业科研专项经费项目资助(201205012);海洋执法监察等船舶飞机运行费项目资助(卫星遥感业务运行) |
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| 摘 要： | 溢油对海洋环境造成的危害越来越大,及早发现对于减灾防灾具有重要意义。目前,运用极化SAR进行溢油探测已成为遥感监测的一个重要方面,本文基于SIR-C数据,开展极化SAR的溢油监测,提取极化参数熵H,散射角α和反熵A,运用SVM监督分类方法,进行溢油信息提取。结果表明,基于SVM的分类精度要强于基于H-α分类的分类结果。
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| 关 键 词： | 极化SAR 溢油识别 SVM 试验 |
| 收稿时间： | 2012-08-29 |
Oil spill identification using SVM based on polarization parameters |
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| ZOU Ya-rong,LIANG Chao,ZENG Tao.Oil spill identification using SVM based on polarization parameters[J].Journal of Marine Sciences,2013,31(3):71-75. |
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| Authors: | ZOU Ya-rong LIANG Chao ZENG Tao |
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| Institution: | National Satellite Ocean Application Service, Beijing 100081, China |
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| Abstract: | Due to the fact that oil spill has been increasing damage to the marine environment, to quickly detect the oil spill is certainly of significance for preventing and alleviating the disasters. Currently using polarized SAR in the detection of the oil spill is an important approach of remote sensing. In this paper, the SIR-C data were employed in the monitoring of oil spills, in which the polarized parameters entropy, scattering angle and anti-entropy were first extracted and then used to retrieve the oil spill information using the support vector machine (SVM) classifier. The assessment showed that SVM-based classification can achieve more accurate result than that of H-α decomposition based oil spill identification of SAR data. |
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| Keywords: | polarization SAR oil spill identification SVM test |
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