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遥感技术与应用  2013, Vol. 28 Issue (1): 103-107    DOI: 10.11873/j.issn.1004-0323.2013.1.103
图像与数据处理     
基于交叉极化比的SAR图像矿物油膜与生物油膜的区分方法
段冰1,2,种劲松1
(1.中国科学院电子学研究所微波成像技术重点实验室,北京 100190;
2.中国科学院大学,北京 100049)
An Algorithm based on Cross-polarization Ratio of SAR Image for Discriminating between Mineral Oil and Biogenic Oil
Duan Bing1,2,Chong Jinsong1
(1.Science and Technology on Microwave Imaging Laboratory,Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(1860 KB)  
摘要:

海洋表面矿物油膜、生物油膜等在SAR图像上都呈现为暗色特征,使得单极化SAR图像对矿物油膜和生物油膜的区分存在困难。分析了矿物油膜和生物油膜后向散射系数的极化比,提出一种基于交叉极化比的多极化SAR图像矿物油膜和生物油膜的区分方法,并用SIR\|C多极化数据验证了该方法的有效性。

关键词: 极化合成孔径雷达油膜    
Abstract:

Ocean surface mineral oil and biogenic oil are both presented as dark features in synthetic aperture radar (SAR) image,so it is difficult to discriminate between mineral oil and biogenic oil by the single polarimetric SAR image.This paper analyzes the polarization ratio of ocean surface backscattering coefficient of the mineral oil films and biogenic oil films,and then proposes a method based on cross-polarization ratio of multi-polarization SAR images to distinguish mineral oil with biogenic oil.At last,SIR-C multi-polarimetric SAR data are used to prove the effectiveness of the proposed algorithm.

Key words: Polarization    Synthetic Aperture Radar (SAR)    Oil Slick
收稿日期: 2011-10-22 出版日期: 2013-06-21
:  TN   
基金资助:

微波成像技术国家重点实验室基金支持(9140C1901030901)。

通讯作者: 种劲松(1969-),女,北京人,博士,研究员,主要从事遥感图像信息处理\,合成孔径雷达图像应用等方面的研究。Email:lily@mail.ie.ac.cn。   
作者简介: 段冰(1987-),男,河南平项山人,硕士研究生,主要从事极化SAR在海洋中的应用研究。Emial:gloryeagle@163.com。
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引用本文:

段冰,种劲松. 基于交叉极化比的SAR图像矿物油膜与生物油膜的区分方法[J]. 遥感技术与应用, 2013, 28(1): 103-107.

Duan Bing,Chong Jinsong. An Algorithm based on Cross-polarization Ratio of SAR Image for Discriminating between Mineral Oil and Biogenic Oil. Remote Sensing Technology and Application, 2013, 28(1): 103-107.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.1.103        http://www.rsta.ac.cn/CN/Y2013/V28/I1/103

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