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Processing multichannel radar images by modified vector sigma filter for soil erosion degree determination

机译:通过改性载体σ滤波器处理多通道雷达图像,用于土壤侵蚀度测定

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A novel vector filter called modified vector sigma filter is proposed for processing the multichannel remote sensing radar images. It is demonstrated through simulations and real data examples that the proposed filter is able to provide an excellent combination of properties. It possesses efficient suppression of multiplicative noise and good edge preservation. Moreover, it simultaneously ensures an ability to remove spikes from images and excellent preservation of fine details even if they are characterized by rather low contrasts. These features occur to be useful for further interpretation of multichannel radar images, e.g. for determination of bare soil characteristics like erosion state. For simulated images it is shown that the application of the modified vector sigma filter is preferable in respect with its componentwise counterpart as the former technique provides less misclassification errors.
机译:提出了一种新颖的向量滤波器,用于处理多通道遥感雷达图像的修改向量Σ滤波器。通过模拟和实际数据示例证明了所提出的过滤器能够提供优异的性能组合。它具有高效的抑制乘法噪声和良好的边缘保存。此外,它同时确保了能够从图像中除去尖峰,即使它们的特征在于相当低的对比度,即使它们的特征在于。这些特征对于对多通道雷达图像的进一步解释是有用的,例如,确定裸土特征等侵蚀状态。对于模拟图像,示出了改进的矢量Sigma滤波器的应用是优选的,因为前者技术提供较少的错误分类误差。

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