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Study on the Performance of Several SAR Image Gradient Operators

机译:几种SAR图像梯度算子的性能研究

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There is serious coherent speckle noise in the synthetic aperture radar (SAR) image. Several gradient operators' performance was studied without speckle reducing in SAR image, included the Canny, Ratio operator and instantaneous coefficient of variation (ICOV). We mainly studied the performance of the above operators on edge detection capability and positioning accuracy for SAR image. Simulation test of one-dimensional synthesis signal showed that only ICOV can get the optimal single-value width response. In order to further validation, synthetic image and real SAR image would also be respectively applied in segmentation experiments. According to the segmentation results, it can be easily known that the segmentation results based on ICOV operator always get the fastest efficiency and the highest accuracy.
机译:在合成孔径雷达(SAR)图像中存在严重的相干斑点噪声。在不降低散斑的情况下研究了几种梯度算子的性能,其中包括Canny,Ratio算子和瞬时变异系数(ICOV)。我们主要研究了上述算子在SAR图像边缘检测能力和定位精度方面的性能。一维合成信号的仿真测试表明,只有ICOV才能获得最佳的单值宽度响应。为了进一步验证,合成图像和真实SAR图像也将分别应用于分割实验中。根据分割结果,可以很容易地知道基于ICOV算子的分割结果总是获得最快的效率和最高的准确性。

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