Literature DB >> 30320779

Deeply seeing through highly turbid water by active polarization imaging.

Fei Liu, Pingli Han, Yi Wei, Kui Yang, Shengzhi Huang, Xuan Li, Guang Zhang, Lu Bai, Xiaopeng Shao.   

Abstract

We hereby proposed and experimentally demonstrated an active polarization imaging technique, based on wavelength selection, for seeing through highly turbid water where targets are always visually lost. The method was realized by making use of the dependence of light scattering on wavelength in turbid water. Red light illumination was selected to minimize scattering occurring in light propagation and to guarantee accurate estimation of degree of polarization. Experiments demonstrate its contribution to turn targets in highly turbid water from "undetectable" to "detectable."

Entities:  

Year:  2018        PMID: 30320779     DOI: 10.1364/OL.43.004903

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  3 in total

1.  Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network.

Authors:  Jingxi Li; Yi-Chun Hung; Onur Kulce; Deniz Mengu; Aydogan Ozcan
Journal:  Light Sci Appl       Date:  2022-05-26       Impact factor: 20.257

Review 2.  Self-assembled liquid crystal architectures for soft matter photonics.

Authors:  Ling-Ling Ma; Chao-Yi Li; Jin-Tao Pan; Yue-E Ji; Chang Jiang; Ren Zheng; Ze-Yu Wang; Yu Wang; Bing-Xiang Li; Yan-Qing Lu
Journal:  Light Sci Appl       Date:  2022-09-13       Impact factor: 20.257

3.  Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye.

Authors:  Xuemin Cheng; Yong Ren; Kaichang Cheng; Jie Cao; Qun Hao
Journal:  Sensors (Basel)       Date:  2020-05-02       Impact factor: 3.576

  3 in total

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