An electromagnetic interference source imaging algorithm of multi-resolution partitions
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摘要: 在利用抛物反射面对电磁干扰源成像过程中,由于系统衍射受限导致干扰源成像模糊,分辨率低,难以分辨,由于不同频率不同区域干扰源所成图像分辨率不同,具有分区域多分辨率的特征,采用已有超分辨算法难以提高分辨率。利用Mean Shift算法,在原有算法基础上改进使其能够适应多分辨率的电磁干扰源成像,在图像分割的基础上对多分辨率图像进行分块抽离,并采用基于L_R迭代的盲反卷积算法分别对各区域进行分辨率的提高,仿真结果表明算法能够适应对干扰源的多分辨率电磁成像并提高分辨率。
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关键词:
- 多分辨率 /
- 电磁成像 /
- Mean Shift算法 /
- 盲反卷积
Abstract: In the process of using parabolic reflection to image electromagnetic interference sources, the diffraction-limited system leads to blurred and low resolution images. Interference sources can form into multi-resolution images regionally due to different frequency, so it is difficult to enhance image resolution by using existing super-resolution algorithm. This paper presents an improved Mean Shift algorithm to image adapting to multi-resolution electromagnetic interference sources. On the basis of image segmentation, we partition the multi-resolution images and use a blind deconvolution based on iterative L_R to enhance their resolution. Simulation results show that the algorithm can improve and enhance the resolution of the images formed by multi-resolution interference sources.-
Key words:
- multi-resolution /
- electromagnetic imaging /
- Mean Shift /
- blind deconvolution
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