High sensitive locating through scattering medium with phase-space-prior

Shuo Zhu, Enlai Guo, Qianying Cui, Dongliang Zheng, Lianfa Bai, Jing Han
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Abstract

The light scattering brings serious degradation for the object information. The conventional optical techniques cannot extract the relevant message on the object location in the scattering. In this paper, in the phase-space, the speckle characteristic with different depths has been analyzed and discussed. We utilize the phase-space-prior to locate the objects through a strong scattering medium with a learning method. Comparing with the single data-driven method, our scheme can help the deep neural network (DNN) to extract the depth information efficiently. The experimental results proved that our method is novel and technically correct with high locating accuracy. Our technique paves the way to a physical-informed DNN in locating and ranging objects through complex scattering media.
具有相空间先验的散射介质高灵敏度定位
光散射给目标信息带来了严重的退化。传统的光学技术无法从散射中提取出目标位置的相关信息。本文在相空间中对不同深度的散斑特性进行了分析和讨论。我们利用相空间先验,用学习方法通过强散射介质对目标进行定位。与单一的数据驱动方法相比,该方法可以帮助深度神经网络(DNN)高效地提取深度信息。实验结果表明,该方法新颖,技术正确,定位精度高。我们的技术为通过复杂散射介质定位和测距物体的物理信息深度神经网络铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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