首页> 外文会议>Conference on SAR Image Analysis, Modeling, and Techniques III, Sep 25-27, 2000, Barcelona, Spain >Techniques to extract the structure of the marine atmospheric boundary layer from SAR images
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Techniques to extract the structure of the marine atmospheric boundary layer from SAR images

机译:从SAR图像中提取海洋大气边界层结构的技术

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摘要

Two techniques suitable for detecting non-periodic backscatter structures in the SAR images are presented: the Variable Interval Space Averaging (VISA) and the two-dimensional Continuous Wavelet Transform (CWT2) analyses. Both methods have been tested over SAR images taken under different geophysical situations. Despite these techniques require the definition of subjective parameters and the knowledge of the spatial scales of interest, the results indicate that they succeed in the identification of the non-periodic backscatter structures present in the SAR images, which may be referred to the imprint of the atmospheric boundary layer. This will allow the quantitative estimate of the size, number and orientation of the backscatter structures. On the contrary, when periodic structures as the wind rolls are present, only the CWT2 yields good results. An interesting development of these technique will consist of the possibility to distinguish atmospheric from oceanographic features.
机译:提出了两种适用于检测SAR图像中非周期性反向散射结构的技术:可变间隔空间平均(VISA)和二维连续小波变换(CWT2)分析。两种方法均已针对在不同地球物理情况下拍摄的SAR图像进行了测试。尽管这些技术需要主观参数的定义和所关注的空间尺度的知识,但结果表明它们成功地识别了SAR图像中存在的非周期性反向散射结构,这可称为SAR图像的印记。大气边界层。这将允许定量估计反向散射结构的大小,数量和方向。相反,当存在周期性结构时,只有CWT2产生良好的结果。这些技术的一个有趣的发展将包括区分大气特征和海洋特征的可能性。

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