Abstract
In this paper, we propose a novel algorithm for three-dimensional compressed sensing (CS) imaging using phase-shift range finding. This system focuses on the application of high-resolution terrain measurement from a medium or short-range. Both the SNR and the imaging speed are improved due to the system structure consist of single photo-detector and no scanning components. Simulation experiments to reconstruct terrain data show that this algorithm can achieve an average MSE (mean square error) less than 0.05 and a ranging accuracy in centimeter magnitude. In our experiments, CS is utilized in a laser range finding system, and much fewer measurements are needed to reconstruct depth maps. Compared with other 3D imaging approaches, our algorithm is more robust in the case of noise and complex target properties.
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Acknowledgment
The work is supported in part by the preliminary research fund under project 40405030103.
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Guo, B., Wei, P., Ke, J. (2014). Three-Dimensional Compressed Sensing Imaging Using Phase-Shift Laser Range Finding. In: Farag, A., Yang, J., Jiao, F. (eds) Proceedings of the 3rd International Conference on Multimedia Technology (ICMT 2013). Lecture Notes in Electrical Engineering, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41407-7_3
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DOI: https://doi.org/10.1007/978-3-642-41407-7_3
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