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

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.

Automated summary

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.