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Hybrid Method combining RMT and ABP Algorithm for Microwave Imaging

机译:结合RMT和ABP算法对微波成像的混合方法

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Microwave imaging is a technique aimed at sensing a given region by means of interrogating electromagnetic waves. In practice, the range migration technique (RMT) as a kind of synthetic aperture radar (SAR) imaging algorithm has a high computational efficiency and accuracy in reconstruction. However, this approach involves a frequency domain interpolation, which may adversely affect the accuracy of image reconstruction. The back-projection (BP) algorithm originated from medical imaging techniques achieves fine reconstructed images because it avoids frequency domain interpolation, but usually has a huge computational cost. To overcome these disadvantages, this paper proposes the hybrid method combining RMT and adaptive BP (ABP) algorithm for reconstruction with high-quality. Then, simulated and experimental data are obtained to validate the performance of the proposed algorithm.
机译:微波成像是一种通过询问电磁波感测给定区域的技术。实际上,范围迁移技术(RMT)作为一种合成孔径雷达(SAR)成像算法的重建具有高的计算效率和准确性。然而,这种方法涉及频域插值,这可能会对图像重建的准确性产生不利影响。源自医学成像技术的后投影(BP)算法实现了精细的重建图像,因为它避免了频域插值,但通常具有巨大的计算成本。为了克服这些缺点,本文提出了与高质量重建的RMT和自适应BP(ABP)算法结合了混合方法。然后,获得模拟和实验数据以验证所提出的算法的性能。

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