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Effect of Denoising on Assimilation of SAR data

机译:去噪对SAR数据同化的影响

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The assimilation of Synthetic Aperture Radar (SAR) data in an operational data assimilation system for the purpose of estimating sea ice properties is a relatively unexplored area. One of the areas where SAR data can provide key information regarding the details of the ice cover is in the marginal ice zone. However, automatic interpretation of the images in this area is challenging due to sensitivity of the backscattered signal to changing surface and environmental conditions and speckle noise. In this paper the impact of denoising on the assimilation of SAR texture features is examined. Two cases have been considered; one assimilating texture features without denoising and the other one having a denoising step prior to the assimilation of texture features. The contribution of the denoising to the analysis is evaluated.
机译:用于估计海冰特性的操作数据同化系统中的合成孔径雷达(SAR)数据的同化是一个相对未开发的区域。 SAR数据可以提供关于冰盖的细节的关键信息的领域之一是边缘冰区。 然而,由于反向散射信号与改变表面和环境条件和斑点噪声的灵敏度,该区域中图像的自动解释是具有挑战性。 本文研究了去噪对SAR纹理特征同化的影响。 已经考虑了两种情况; 一种同化纹理特征而不发生,并且在同化纹理特征之前具有具有去噪的另一个。 评估了去噪对分析的贡献。

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