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A new stochastic model for oil spill observation by means of single-look SAR data

机译:通过单视SAR数据观察溢油的新随机模型

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In this paper, the sensitivity of the three parameters generalized K-distribution, as descriptors of dark features over marine single-look SAR images, is investigated. The working hypothesis is that the generalized K-distribution, which is a three parameters probability density function (pdf), is a suitable speckle model for marine SAR images ensuring a continuous and physically consistent transition among different scattering scenarios. This speckle model can embody the Rayleigh case (which is descriptor of land areas, i.e. islands), the Rice case (which is descriptor of areas in which is present a dominant scatterer, i.e. ships) and the K distribution (which is descriptor of oil free areas). The reference data set is provided by the ESA under the CAT-1 Project C1P-2769.
机译:在本文中,研究了三个参数广义K分布作为海洋单视SAR图像上黑暗特征的描述符的敏感性。可行的假设是,广义K分布是一个三参数概率密度函数(pdf),是适用于海洋SAR图像的散斑模型,可确保不同散射场景之间连续且物理上一致的过渡。该散斑模型可以体现为瑞利(Rayleigh)案例(这是陆地区域,即岛屿的描述),赖斯(Rice)案例(是其中存在主要散射体的区域,即轮船的描述)和K分布(即石油的描述)自由区域)。 ESA在CAT-1项目C1P-2769下提供了参考数据集。

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