基于Log-Gabor滤波器的SAR图像变化检测研究
投稿时间:2020-06-21  修订日期:2020-07-06  点此下载全文
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作者单位E-mail
李正伟 成都理工大学工程技术学院 nut0774@163.com 
中文摘要:合成孔径雷达(SAR)图像具有良好的操作性能和较高的分辨率。针对多时相SAR图像,本文提出了一种多尺度多方向的图像变化检测方法。通过斑点抑制各向异性扩散滤波(SRAD)和离散小波变换(DWT)对SAR图像进行预处理,利用Log-Gabor(LG)滤波器组对处理后的无斑点图像进行多尺度多方向设计,将多个方向的最大幅值相加得到基于特征的尺度表示。通过设计最小重叠的传输函数来扩大覆盖广泛的滤波器带宽,对每个尺度进行多方向处理得到差分图像系数,将各尺度的差分系数序列相加进而计算差分图像。最后,利用真实的武汉市SAR图像数据集验证了该方法的性能。
中文关键词:SAR图像  变化检测  斑点噪声  Log-Gabor滤波器组
 
SAR Image Change Detection based on Log-Gabor Filter
Abstract:Synthetic aperture radar (SAR) image has good performance and high resolution. In this paper, a multi-scale and multi-directional change detection method for multi-phase SAR image is proposed. SAR image is preprocessed by speckle suppression anisotropic diffusion filter (SRAD) and discrete wavelet transform (DWT), and the processed speckle free image is designed by log Gabor (LG) filter bank in multi-scale and multi direction. The maximum amplitude of multiple directions is added to get the scale representation based on the feature. By designing the minimum overlapping transmission function to expand the wide coverage of the filter bandwidth, the differential image coefficients are obtained by multi-directional processing of each scale, and then the differential image is calculated by adding the differential coefficient sequences of each scale. Finally, the performance of the method is verified by the real data set of Wuhan SAR image.
keywords:SAR image  Change detection  Speckle noise  Log-gabor filter bank
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