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SAR-ocean wave inversion using image cross spectra

机译:利用图像交叉谱反演SAR海浪

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Image cross-spectra obtained by combining pairs of single look SAR images are utilized in an inversion scheme for extracting the underlying ocean wave spectrum. The reasons for proposing the use of image cross-spectra instead of standard multilook spectra are twofold. First, the image cross-spectra are shown to significantly reduce the speckle noise level while preserving the spectral shape. Second, the image cross-spectra provide information about the wave propagation direction. A closed form expression of the ocean-to-SAR spectral transform and its inversion is formulated for the cross-spectral case. The inversion method is based on computing the full derivative of the nonlinear ocean-to-SAR image cross-spectral transform. The SAR image cross-spectra are shown to yield a SNR typically 16-25 dB higher than the corresponding standard 3 look image spectra. The noise level is typically reduced with a factor of 20 compared to the 3 look spectra and a factor of 60 compared to the single look spectra. The inherent information about the wave propagation direction is utilized in the inversion scheme to resolve the 180-degree ambiguity without using any external information. The method is demonstrated on airborne C-band SAR data.
机译:通过组合成对的单幅SAR图像获得的图像互谱用于反演方案中,以提取海底波谱。提出使用图像交叉谱代替标准多视谱的原因有两个。首先,图像互谱被显示为在保留光谱形状的同时显着降低了斑点噪声水平。其次,图像互谱提供有关波传播方向的信息。针对互谱情况,制定了海洋-SAR光谱变换及其反演的闭式表达式。该反演方法基于计算非线性海洋到SAR图像互谱变换的全导数。 SAR图像交叉频谱显示出的SNR通常比相应的标准3观图像频谱高出16-25 dB。与3个外观光谱相比,噪声水平通常降低20倍,与单外观光谱相比降低60倍。在反演方案中利用有关波传播方向的固有信息来解决180度歧义,而无需使用任何外部信息。在机载C波段SAR数据上演示了该方法。

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