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Dual Polarization Detection of Ships and Icebergs - Recent Results with ENVISAT ASAR and Data Simulations of RADARSAT-2

机译:船舶和冰山的双重偏振检测 - 近期结果与Envisat ASAR和Radarsat-2的数据仿真

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The RADARSAT-2 satellite is an advanced C-band synthetic aperture radar (SAR) with a variety of new modes including options for polarization combinations, resolution, and swath width. This paper examines the potential of multi polarization data for detecting and discriminating ship and iceberg targets Data used in this study consist of well validated airborne Convair-580 SAR and spaceborne ASAR HH/HV and HH/VV. In total, the data set used for evaluating detection and discrimination consists of 901 validated iceberg and ship targets. Optimizing target detection is accomplished using receiver operator curves (ROC) as proposed by [6] and discrimination is conducted using a quadratic discriminant (QD) with feature selection based on sequential forward selection (SFS). In general it was found that detection and discrimination improve with more polarimetric information; however, HH/HV and VV/VH only had nominally less discrimination performance than the quad polarization modes evaluated.
机译:Radarsat-2卫星是一个先进的C波段合成孔径雷达(SAR),具有各种新模式,包括偏振组合,分辨率和条形宽度的选项。本文研究了用于检测和辨别船舶的多极化数据的潜力,本研究中使用的冰山目标数据包括良好的验证的机载康复-580 SAR和星载ASAR HH / HV和HH / VV。总共,用于评估检测和歧视的数据集包括901验证的冰山和船舶目标。优化目标检测是使用如[6]所提出的接收器操作员曲线(ROC)完成的,并且使用基于顺序前进选择(SFS)的特征选择来进行判别进行辨别。一般来说,发现检测和歧视利用更多的极化信息来改善;然而,HH / HV和VV / VH仅具有比评估的四极偏振模式更低的歧视性能。

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