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  

An Algorithm based on Cross-polarization Ratio of SAR Image for Discriminating between Mineral Oil and Biogenic Oil

作　　者：段冰[1,2] 种劲松[1] 

机构地区：[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

出　　处：《遥感技术与应用》2013年第1期103-107,共5页Remote Sensing Technology and Application

基　　金：微波成像技术国家重点实验室基金支持(9140C1901030901)

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。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 polar- imetric 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.

关 键 词：极化 合成孔径雷达 油膜 

分 类 号：TN958[电子电信—信号与信息处理] TP75[电子电信—信息与通信工程]