4.7 Article

Three-dimensional imaging by compressed sensing based dual-frequency laser phase ranging

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APL PHOTONICS
卷 8, 期 7, 页码 -

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AIP Publishing
DOI: 10.1063/5.0152561

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This paper introduces and realizes a 3D imaging method based on compressed sensing technology and dual-frequency laser phase ranging. The time-domain light intensity signal collected by a single-point detector is used for two-dimensional range reconstruction using compressed sensing algorithm. By solving the phase information of the two-dimensional spatial distribution in the time-domain signal, the 3D image information of the target scene is inverted, achieving the effect of scan-free 3D imaging. The feasibility of the system is verified through simulations and different reconstruction algorithms are compared. A non-scanning 3D imaging experimental platform is designed and built, successfully reconstructing 3D images of multiple objects with 32x32 resolution.
Scanless three-dimensional (3D) imaging technology has received extensive attention in recent years due to its rapid detection and system reliability. Compressed sensing imaging technology provides a new solution for the realization of scan-free 3D imaging. In this paper, a 3D imaging method based on dual-frequency laser phase ranging based on compressed sensing technology is introduced and realized. Using the combination of dual-frequency laser phase ranging and compressed sensing theory, two-dimensional range reconstruction from the time-domain light intensity signal collected by a single-point detector is performed. Aiming at the spatial sparsity of the target scene, this technology uses the compressed sensing algorithm to solve the phase information of the two-dimensional spatial distribution contained in the time domain signal so as to invert the 3D image information of the target scene and realize the effect of scanning-free 3D imaging. First, the feasibility of the system is verified by simulations, and the imaging effects of different reconstruction algorithms on different terrains are compared. Second, a non-scanning 3D imaging experimental platform is designed and built. Finally, the 3D images of multiple objects with 32 x 32 resolution are successfully reconstructed through experiments with a compression ratio of 0.25. The ranging accuracy of this system is 0.05 m. This work is promising for applications in multiple objects' fast detections.

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