Pol-K分布应用于RADARSAT-2海面图像上的浮油探测

Bo Wang, B. Chapron, R. Garello
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引用次数: 0

摘要

与使用归一化雷达截面(NRCS)[1]相比,使用复散射矩阵可以更好地分离海面的极化依赖和独立散射贡献。通过实现这种分离,建立了由ENL分析驱动的极化广义K分布(Pol-K)。它不同于传统的散斑模型只考虑雷达直接测量结果,而忽略像元区域内不同的散射信息。这种统计建模的原理是基于每个散射机制的物理产生散斑,即依赖于极化的Bragg和独立的标量贡献。K分布是相位参数α = 0时PolK的一种特殊情况。对于分离的散射贡献,K分布描述了其直方图的“尾巴”形状,但高估了峰值“高度”。这一缺点使使用分离散射贡献进行浮油探测的K分布失效。在这项工作中,我们测试了Pol-K分布在RADARSAT-2海面图像上检测浮油的能力,其中峰值“高度”是一个重要的属性。
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Pol-K distribution applied to detect oil slick on RADARSAT-2 sea surface imagery
The polarization dependent and independent scattering contributions of the sea surface could be separated using complex scattering matrix better than using the NRCS (Normalized Radar Cross Section) [1]. By achieving this separation, a polarimetric generalized K distribution (Pol-K) motivated by ENL analysis had been established. It is different from traditional speckle models which consider only the direct radar measurements and ignore the different scattering information inside pixel areas. The principle of this statistical modelling is based on the physical generation of speckle for each scattering mechanisms, i.e., polarization dependent Bragg and independent Scalar contributions. K distribution is a special case of PolK when the phase parameter α = 0. For the separated scattering contributions, K distribution describes the `tail' shape of their histograms, but overestimates the peak `height'. This disadvantage disables K distribution for oil slick detection using the separated scattering contributions. In this work, we test the capability of Pol-K distribution for oil slick detection on the RADARSAT-2 sea surface imagery, for which the peak `height' is an important property.
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