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PHASE UNWRAPPING IN THE PRESENCE OF SCATTERING NULLS AND APPLICATIONS TO MICROWAVE IMAGING

机译:在存在散射空和应用程序的情况下,相位展开到微波成像

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Utilization of our log-magnitude/phase form (LMPF) iterative reconstruction algorithm for microwave tomographic imaging has proven to be significantly more advantageous than the traditional complex form algorithm both in terms of solution convergence stability and the elimination of the need for a priori information in cases of large, high contrast imaging targets. However, for certain high contrast targets, the forward solution can often contain scattering nulls which complicate the phase unwrapping process necessary in the LMPF algorithm and ultimately can cause instability in the convergence behavior. We have developed a strategy for coping with these scattering nulls during the unwrapping process based on a theoretical understanding of their behavior. The image quality improvement is substantial compared with previous strategies.
机译:利用我们的日志幅度/相形(LMPF)迭代重建算法用于微波断层成像的迭代重建算法已经被证明是在解决方案收敛稳定性方面的传统复杂形式算法的显着更有利的是,消除对先验信息的消除大,高对比度成像靶标。然而,对于某些高对比度目标,前向解决方案通常可以包含散射空,其使LMPF算法中所需的相位展开过程复杂化,最终可能导致收敛行为中的不稳定性。我们制定了一种在展开过程中应对这些散射空缺的策略,基于对其行为的理论理解。与以前的策略相比,图像质量改善是大幅的。

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