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Pulse intensity correlation three-dimensional imaging method based on deep learning model

An intensity correlation and deep learning technology, applied in the field of 3D imaging and pulsed intensity correlation 3D imaging, can solve the problems of poor imaging quality and slow imaging rate, and achieve low transformation cost, strong applicability, anti-noise ability and robustness. strong effect

Active Publication Date: 2018-08-24
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problems of slow imaging rate and poor imaging quality when the existing pulsed intensity-correlated three-dimensional imaging method works in a strong noise environment represented by strong turbulence, and to provide a pulsed imaging method based on a deep learning model. Intensity-correlated 3D imaging method, which can effectively improve the imaging rate and achieve high-quality image reconstruction

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  • Pulse intensity correlation three-dimensional imaging method based on deep learning model
  • Pulse intensity correlation three-dimensional imaging method based on deep learning model
  • Pulse intensity correlation three-dimensional imaging method based on deep learning model

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Embodiment 1

[0029] A pulsed intensity-correlated 3D imaging method based on a deep learning model, such as figure 1 As shown, the applied system is as figure 2 As shown, the specific steps are as follows:

[0030] Step S1, control the signal generator 1 to output a pulse waveform to drive the pulse laser 2 to emit Gaussian pulse laser. The Gaussian pulsed laser is irradiated on the spectroscope 4 after passing through the rotating ground glass 3, and the Gaussian pulsed transmitted light split by the spectroscope 4 is irradiated to the target 5, and all the reflected light reflected by the target 5 is converged by the converging lens 6 and then collected by the point detector 7. Photoelectric conversion into the total light intensity waveform electrical signal of the reflected light, the total light intensity waveform electrical signal of the reflected light is transmitted to the correlation calculator 9, recorded on the correlation calculator 9, and recorded as the total light intensit...

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Abstract

The invention relates to a three-dimensional imaging method, particularly relates to a pulse intensity correlation three-dimensional imaging method based on a deep learning model and belongs to the technical field of photoelectric imaging. The invention aims to solve the problems that a conventional pulse intensity correlation three-dimensional imaging method is low in imaging rage and poor in imaging quality when being operated in a strong noise environment represented by strong turbulence. Through adoption of the deep learning model, the method, compared with a conventional correlation imaging method combining compressed sensing, has the advantages that high-quality low-noise reconstructed image output under a small number of correlation times can be realized and the anti-noise capability and the robustness are high.

Description

technical field [0001] The invention relates to a three-dimensional imaging method, in particular to a pulsed intensity-correlated three-dimensional imaging method based on a deep learning model, which belongs to the field of photoelectric imaging technology. Background technique [0002] As a typical representative of indirect statistical imaging methods, pulsed intensity correlation imaging technology has been widely concerned in the fields of biomedical imaging, optical image reconstruction, and remote sensing measurement due to its low system cost, high resolution, and strong anti-interference ability. and research. This technology uses the principle of time slicing to reconstruct the two-dimensional light intensity information of the light source obtained by the reference arm under the time slice position and the total light intensity information obtained by the detection arm and modulated by the target surface reflection or transmission to reconstruct the target surfac...

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Application Information

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IPC IPC(8): G06T15/00G06N3/08
CPCG06N3/08G06T15/005
Inventor 郝群曹杰张开宇张芳华王营博冯永超
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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