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首页> 外文期刊>Canadian Journal of Remote Sensing >Pre-Launch Assessment of RADARSAT Constellation Mission Medium Resolution Modes for Sea Oil Slicks and Lookalike Discrimination
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Pre-Launch Assessment of RADARSAT Constellation Mission Medium Resolution Modes for Sea Oil Slicks and Lookalike Discrimination

机译:发射前评估RADARSAT星座任务中分辨率模式对海浮油和相似识别的影响

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摘要

The RADARSAT Constellation Mission (RCM) is a Canadian Synthetic Aperture Radar (SAR)mission, providing C-band SAR data continuity of the RADARSAT-1 and RADARSAT-2 satellitemissions. The RCM which was recently launched (June 2019) will provide compact polarimetry(CP) as a polarization option for all non-quad-polarization imaging modes. Maritime pollutionmonitoring is one of the RCM core applications. Thus, the purpose of this study is toprovide an initial evaluation of the expected potential of the RCM mission for maritime pollutionmonitoring. Herein, we investigate simulated CP SAR data of three RCM MediumResolution (MR) SAR modes for oil slick detection and discrimination from lookalike (LA) features.Results of our study indicated that the steeper radar incidence angle seems to bepreferable for oil slick detection in all examined modes. The ScanSAR 50m resolution(SC50M) mode showed the highest overall performance in terms of LA and Emulsion (EM)classification (95.4%). This was also valid for LA and Crude Oil (CO) classification (96.7%).The performance of the SC50M mode was slightly higher than that of the ScanSAR 30mresolution (SC30M) mode.
机译:RADARSAT星座任务(RCM)是加拿大的合成孔径雷达(SAR)任务,可提供RADARSAT-1和RADARSAT-2卫星任务的C波段SAR数据连续性。最近推出的RCM(2019年6月)将为所有非四极偏振成像模式提供紧凑型偏振(CP)作为偏振选项。海上污染监测是RCM的核心应用之一。因此,本研究的目的是对RCM任务对海洋污染监测的预期潜力进行初步评估。在本文中,我们研究了三种RCM中等分辨率(MR)SAR模式的模拟CP SAR数据,用于油膜检测和从相似特征(LA)的特征识别。我们的研究结果表明,较陡的雷达入射角似乎在所有油膜检测中都更可取检查模式。 ScanSAR 50m分辨率(SC50M)模式在LA和乳液(EM)分类方面表现出最高的整体性能(95.4%)。这对于LA和原油(CO)分类(96.7%)也有效。SC50M模式的性能略高于ScanSAR 30mresolution(SC30M)模式。

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  • 来源
    《Canadian Journal of Remote Sensing 》 |2019年第4期| 530-549| 共20页
  • 作者单位

    Science and Technology Branch Environment and Climate Change Canada Government of Canada Dorval Quebec H9P 1J3 Canada;

    Remote Sensing Technology Institute (IMF) German Aerospace Center (DLR) Bremen Germany;

    Landscape Science and Technology Division Environment and Climate Change Canada Government of Canada Ottawa Ontario K1A 0H3 Canada;

    Canadian Ice Service Environment and Climate Change Canada Government of Canada Ottawa Ontario K1G 3Z4 Canada;

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