一种新的SAR图像的边沿检测方法研究
A NEW APPROACH TO EDGE DETECTION OF SAR IMAGES
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摘要: 该文针对合成孔径雷达(SAR)图像的特点,利用小波变换的高频分量能反映边沿细节的特性,提出了一种结合小波变换、模糊中值滤波、自适应门限判决和微分梯度算子的边沿检测的新方法,在采用模糊中值滤波时,提出了一种自适应选择模糊中值滤波系数的方法。实验研究的结果表明该方法具有良好的边沿检测效果和稳定性。Abstract: The high frequency part of wavelet transform reflects the detail of edges. And median filter is a kind of nonlinear stack filter, it has good abilities in keeping edge and filtering clutter. Based on the analysis of the characteristics of the images of Synthetic Aperture Radar (SAR), this paper puts forward a combined method for edge s detection of SAR images. This method is composed of wavelet transform, fuzzy median filter, adaptive thresholding and differential gradient operator. In using fuzzy median filter, this paper gives out a new method for adaptive selecting the factors of fuzzy median filter. The experimental results show the effectiveness and stability of this method.
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