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Imaging Three-Dimensional Bodies by Processing Multi-Frequency Data Through a Multiscale Swarm Intelligence Based Method

机译:通过基于多尺度群体智能的方法处理多频率数据来对三维物体成像

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摘要

This contribution is aimed at investigating the potentialities and current limitations of the multiscale particle swarm method when processing multi�]frequency data scattered by three�]dimensional structures. Such a global optimization approach demonstrated its effectiveness in solving complex two�]dimensional imaging problems. Therefore, it has been suitably�]modified for dealing with three�]dimensional geometries and integrated into multi�]frequency inversion schemes. Selected numerical results are shown in order to allow a preliminary evaluation of the reconstruction accuracy of the proposed implementations. This is the author's version of the final version available at IEEE.
机译:该贡献旨在研究处理三维结构散射的多频数据时多尺度粒子群方法的潜力和当前局限性。这种全局优化方法证明了其在解决复杂的二维成像问题中的有效性。因此,已对其进行了适当修改,以处理三维几何形状,并集成到多频反演方案中。显示了选定的数值结果,以便对提出的实现的重建精度进行初步评估。这是IEEE最终版本的作者版本。

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