The influence of the radar bands on polarimetric SAR oil spill characteristics
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摘要: 多极化SAR数据海面溢油检测研究日益受到重视。本文研究不同波段极化SAR数据的海面溢油检测能力,为最大程度减小观测条件、环境因素等的影响,选取准同步获取的SIR-C/X多极化SAR数据。针对海面油膜、生物油膜和低风区疑似溢油现象,研究L波段和C波段的共极化相位差、一致性系数、极化熵、各向异性和平均散射角等极化特征对海面油膜以及不同海面暗斑现象的检测能力。研究结果表明:在海面溢油检测以及探测不同暗斑现象间差异方面,C波段总体优于L波段;L波段,极化分解特征各向异性参数优于共极化相位差和一致性系数;C波段,共极化相位差、一致性系数特征优于极化分解特征各向异性和极化熵,结合平均散射角特征有助于滤除生物油膜和低风区。Abstract: Emphasis has been laid on polarimetric SAR oil spill detection in this study. For the research of the oil spill detection of different radar bands polarimetric SAR, SIR-C/X polarimetric SAR data acquired synchronously are adopted to reduce the effect of observation and environment conditions. Research of the identification capability of co-polarization phase difference, conformity coefficient and decomposition parameters on oil slick and the discrepancy of diverse dark phenomena such as biogenic slick and low wind area have been carried out using the SIR-C/X multi-polarization data. The analysis results indicate that C band is superior to L band in oil slick identification and the detection of the discrepancy of diverse dark phenomena. For L band, the anisotropy parameter has better performance than co-polarization phase difference and conformity coefficient. And co-polarization phase difference and conformity coefficient are better than decomposition parameters anisotropy and entropy in C band, with averaged scattering angle in helping to filter out biogenic slick and low wind area.
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Key words:
- marine oil spill /
- L band /
- C band /
- multi-polarization SAR /
- polarimetric features /
- SIR-C/X
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