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Oil spill detection using simulated radarsat constellation mission compact polarimetric SAR data

机译:使用模拟雷达在星座任务紧凑极化SAR数据中进行溢油检测

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Synthetic Aperture Radar (SAR) remote sensing has become a valuable tool for maritime pollution monitoring with three major requirements: 1) low noise floor, 2) large area coverage, and 3) polarization diversity to maximize detection and discrimination of pollution features. In order to reconcile the advantages of fully polarimetric SAR with larger area coverage, compact polarimetry (CP) acquisitions offer a trade-off between the above mentioned requirements. The future Canadian RADARSAT Constellation Mission (RCM) will enable the acquisition of CP SAR data in wide swath imagery, including ScanSAR modes. In this study, we investigate the potential of CP for four RCM SAR modes for oil spill detection. These modes have different spatial resolutions and noise floors. An initial visual interpretation of the results indicates potential of some CP features for the discrimination between oil spills and lookalike.
机译:合成孔径雷达(SAR)遥感已成为海上污染监测的重要工具,具有三个主要要求:1)低本底噪声,2)大面积覆盖和3)极化分集,以最大程度地检测和识别污染特征。为了兼顾全极化SAR与较大面积覆盖的优势,紧凑型极化(CP)采集在上述要求之间进行了权衡。未来的加拿大RADARSAT星座任务(RCM)将能够在包括ScanSAR模式在内的宽幅图像中获取CP SAR数据。在这项研究中,我们调查了漏油检测的四种RCM SAR模式下CP的潜力。这些模式具有不同的空间分辨率和本底噪声。对结果的初步视觉解释表明,某些CP功能可用于区分溢油和相似外观。

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