雷达波段对多极化SAR海面溢油检测极化特征参数的影响
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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。
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 copolarization 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.
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 copolarization 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.
引文
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[2]Migliaccio M,Nunziata F,Gambardella A.On the co-polarized phase difference for oil spill observation[J].International Journal of Remote Sensing,2009,30(6):1587-1602.
[3]Nunziata F,Gambardella A,Migliaccio M.On the mueller scattering matrix for SAR sea oil slick observation[J].IEEE Geoscience and Remote Sensing Letters,2008,5(4):691-695.
[4]Zhang B,Perrie W,Li X F,et al.Mapping sea surface oil slicks using Radarsat-2 quad-polarization SAR image[J].Geophysical Research Letters,2011,38(10):415-421.
[5]邹亚荣,梁超,陈江麟,等.基于SAR的海上溢油监测最佳探测参数分析[J].海洋学报,2011,33(1):36-44.Zou Yarong,Liang Chao,Chen Jianglin,et al.An optimal parametric analysis of monitormg oil spill based on SAR[J].Haiyang Xuebao,2011,33(1):36-44.
[6]Gade M,Alpers W,Htihnerfuss H,et al.Imaging of biogenic and anthropogenic ocean surface films by the multifrequency/multipolarization SIR-C/X-SAR[J].Journal of Geophysical Research,1998,103(C9):18851-18866.
[7]Wismann V,Gade M,Alper W,et al.Radar signatures of marine mineral oil spills measured by an airborne multi-frequency radar[J].International Journal of Remote Sensing,1998,19(18):3607-3623.
[8]Liu P,Li X,Qu J J,et al.Oil spill detection with fully polarimetric UAVSAR data[J].Marine Pollution Bulletin,2011,62(12):2611.
[9]Migliaccio M,Nunziata F,Montuori A,et al.A multifrequency polarimetric SAR processing chain to observe oil fields in the Gulf of Mexico[J].IEEE Transactions on Geoscience&Remote Sensing,2011,49(12):4729-4737.
[10]Nunziata F,Migliaccio M,Li X.Sea oil slick observation using hybrid-polarity SAR architecture[J].IEEE Journal of Oceanic Engineering,2015,40(2):426-440.
[11]Buono A,Nunziata F,Migliaccio M,et al.Polarimetric analysis of compact-polarimetry SAR architectures for sea oil slick observation[J].IEEE Transactions on Geoscience&Remote Sensing,2016,54(10):5862-5874.
[12]Li X,Nunziata F,Garcia O.Reference Module in Earth Systems and Environmental Sciences:Oil Spill Detection From Single-and Multipolarization SAR Imagery[M].Elsevier,2017.
[13]Song D,Ding Y,Li X,et al.Ocean oil spill classification with RADARSAT-2 SAR based on an optimized wavelet neural network[J].Remote Sensing,2017,9(8):799.
[14]Skrunes S,Brekke C,Eltoft T.Oil spill characterization with multi-polarization C-and X-band SAR[C]//Proceedings of Geoscience and Remote Sensing Symposium.Germany:IEEE,2012:5117-5120.
[15]Skrunes S,Brekke C,Eltoft T.An experimental study on oil spill characterization by multi-polarization SAR[C]//Proceedings of European Conference on Synthetic Aperture Radar.Germany:VDE,2012:139-142.
[16]Skrunes S,Brekke C,Eltoft T.Characterization of marine surface slicks by Radarsat-2 multipolarization features[J].IEEE Transactions on Geoscience&Remote Sensing,2014,52(9):5302-5319.
[17]Skrunes S,Brekke C,Eltoft T,et al.Comparing near-coincident C-and X-band SAR acquisitions of marine oil spills[J].IEEE Transactions on Geoscience&Remote Sensing,2014,53(4):1958-1975.
[18]Latini D,Frate F D,Jones C E.Multi-frequency and polarimetric quantitative analysis of the Gulf of Mexico oil spill event comparing different SAR systems[J].Remote Sensing of Environment,2016,183:26-42.
[19]郑洪磊,张彦敏,王运华.基于极化特征SERD的SAR溢油检测[J].海洋湖沼通报,2015(4):173-180.Zheng Honglei,Zhang Yanmin,Wang Yunhua,et al.Oil spill detection based on polarimetric feature SERD[J].Transactions of Oceanology and Limnology,2015(4):173-180.
[20]Zheng Honglei,Zhang Yanmin,Wang Yunhua,et al.The polarimetric features of oil spills in full polarimetric synthetic aperture radar images[J].Acta Oceanologica Sinica,2017,36(5):105-114.
[21]Skrunes S,Brekke C,Jones C E,et al.A multisensor comparison of experimental oil spills in polarimetric SAR for high wind conditions[J].IEEE Journal of Selected Topics in Applied Earth Observations&Remote Sensing,2016,9(11):4948-4961.
[22]邹亚荣,邹斌,梁超.应用极化合成孔径雷达检测海上溢油研究进展[J].海洋学报,2014,36(9):1-6.Zou Yarong,Zou Bin,Liang Chao.Research on progress of oil spill detection using polarization SAR data[J].Haiyang Xuebao,2014,36(9):1-6.
[23]Freeman A,Dubois-Fernandez P,Truong-Loi M L.Soil moisture estimation from compact polarimetry—a viable alternative for SMAP[C].Oxnard:Microwave Remote Sensing for Land Hydrology Workshop,2008.
[24]Schuler D L,Lee J S,Hoppel K W.Polarimetric SAR image signatures of the ocean and gulf stream features[J].IEEE Transactions on Geoscience and Remote Sensing,1993,31(6):1210-1221.
[25]Cloude S R,Pottier E.A review of target decomposition theorems in radar polarimetry[J].IEEE Transactions on Geoscience and Remote Sensing,1996,34(2):498-518.