Progress in Research on Marine Oil Spills Detection Using Synthetic Aperture Radar
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摘要:
海洋溢油污染不仅严重威胁海洋生态安全、破坏海岸带环境，而且直接和间接地影响着广大人民群众的生活和健康以及区域社会经济的发展。合成孔径雷达因其具有全天候和高灵敏度的观测能力而成为海面油膜探测的主要手段之一。该文从SAR海面油膜探测的基本原理出发，介绍了单极化、全极化和紧缩极化SAR海面油膜探测技术的国内外最新研究进展，对该技术手段在实际应用中遇到的主要困难和挑战做了深入分析，最后总结展望了该技术未来发展的广阔前景。
Abstract:Marine oil spill pollution is a serious threat to the marine ecological environment, human life and economic development. Synthetic Aperture Radar (SAR) becomes one of the main technologies for marine oil film detection because of its all-weather and high sensitivity observation capability. This article first introduces the research progress of oil film detection technology on single polarimetric, fully polarimetric and compact polarimetric SAR technologies, based on the basic principle of SAR oil slick detection. Then the main difficulties and challenges encountered in the current research are analyzed. Finally, the broad prospects for the future development of this technology are forecasted.
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Key words:
- Synthetic Aperture Radar (SAR) /
- Polarimetry /
- Oil spill /
- Classification
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表 1 常用单极化SAR油膜特征
强度特征 形态学特征 纹理特征* 环境特征 油膜后向散射强度(${\mu _{{\rm{obj}}}}$) 面积(A) 同质性(Homogeneity) 距海岸距离 油膜后向散射方差(${\sigma _{{\rm{obj}}}}$) 周长(P ) 对比度(Contrast) 距最近黑斑距离 油膜周围后向散射(${\mu _{{\rm{sce}}}}$) 复杂度(C ) 差异度(Dissimilarity) 周围黑斑数量 灰度比(${\mu _{{\rm{obj}}}}/{\mu _{{\rm{sce}}}}$) 不对称性 熵(Entropy) 周围船只数量 方差比(${\sigma _{{\rm{obj}}}}/{\sigma _{{\rm{sce}}}}$) 欧拉数 均值(Mean) … ISRI(${\mu _{{\rm{obj}}}}/{\sigma _{{\rm{obj}}}}$) 形状指数 方差(Variance) ISRO(${\mu _{{\rm{obj}}}}/{\sigma _{{\rm{sce}}}}$) 轴线长度 相关性(Correlation) 油膜最小灰度值(MSV) 紧致度 最大对比度(${\sigma _{{\rm{sce}}}}$-MSV) 边缘梯度 注：纹理特征通过灰度共生矩阵(Gray-Level Co-occurrence Matrix, GLCM)得到 
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