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SAR Image Quality Assessment and Indicators for Vessel and Oil Spill Detection

机译:SAR图像质量评估和船舶和溢油检测指标

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摘要

Satellite-based synthetic aperture radar (SAR) is progressively becoming an operational asset for maritime monitoring applications. The services based on this technology rely on a level of image quality that, if not entirely fulfilled, may result in compromising the performance and accuracy of the intended application. Nonetheless, it is not always clear how to quantitatively measure the SAR image quality level from the delivered products. This paper discusses today''s most relevant quality issues of satellite SAR images related to maritime applications. It introduces a set of quantitative measures that can be estimated from satellite images used in operational applications, not only to verify the conformity of the delivered image with respect to product specifications but also to assess how well the image can serve the application. To that end, the concept of “application suitability” is introduced, defined in relation to the specific application of interest. The focus is on oil spill detection and ship detection.
机译:基于卫星的合成孔径雷达(SAR)逐渐成为海上监视应用程序的一项运营资产。基于该技术的服务依赖于图像质量水平,如果不能完全满足,则可能会损害预期应用程序的性能和准确性。但是,如何从交付的产品中定量测量SAR图像质量水平并不总是很清楚。本文讨论了与海事应用相关的当今与卫星SAR图像最相关的质量问题。它引入了一套量化指标,可以从运营应用中使用的卫星图像中估算出这些量化指标,不仅可以验证交付的图像相对于产品规格的一致性,还可以评估图像可以为应用提供多好的服务。为此,引入了“应用程序适用性”的概念,该概念是根据感兴趣的特定应用程序定义的。重点是漏油检测和船舶检测。

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