Spatial Variable Resolution Scanning Three-Dimensional Reconstruction Imaging

Qun Hao; Bin Han; Ao Yang; Long Liang; Honglin Chen; Jie Cao

doi:10.3788/LOP231287

Journals >Laser & Optoelectronics Progress >Volume 60 >Issue 11 >Page 1106017 > Article

Laser & Optoelectronics Progress
Vol. 60, Issue 11, 1106017 (2023)

Spatial Variable Resolution Scanning Three-Dimensional Reconstruction Imaging

Qun Hao^1,2,3, Bin Han¹, Ao Yang⁴, Long Liang¹..., Honglin Chen⁵ and Jie Cao^1,2,*|Show fewer author(s)

Author Affiliations

¹School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

²Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, Jiaxing 314003, Zhejiang, China

³Changchun University of Science and Technology, Changchun 130022, Jilin, China

⁴Beijing Huahang Radio Measurement Institute, Beijing 100013, China

⁵School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, Shandong, China

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DOI: 10.3788/LOP231287 Cite this Article Set citation alerts

Qun Hao, Bin Han, Ao Yang, Long Liang, Honglin Chen, Jie Cao. Spatial Variable Resolution Scanning Three-Dimensional Reconstruction Imaging[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106017 Copy Citation Text

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Abstract

A spatial variable resolution scanning three-dimensional (3D) imaging method is proposed to address the problems of high redundancy of point cloud and low accuracy of image reconstruction in traditional fixed-resolution scanning 3D imaging. A model of multi-echo and spatial variable resolution scanning imaging is deduced. Target information is extracted by decomposing multi-echo to achieve high resolution depth image reconstruction. The model is verified by comparative experiments. The results show that compared with the traditional fixed-resolution scanning imaging method, the sampling rate of the proposed method is only 50% under the comparable imaging quality, which effectively reduces the redundancy of the point cloud. The results can support the related application of 3D imaging.

Keywords

multiple echoes target reconstruction three-dimensional imaging variable resolution

P (t) = \sum_{i = 1}^{N} η_{s} η_{a} \frac{π d_{r}^{2}}{4 R_{i}^{2} S_{0}} E \frac{ρ}{Ω} A_{i} \frac{σ_{s}}{\sqrt[]{σ_{s}^{2} + σ_{i}^{2}}} e x p [- \frac{{(t - t_{i})}^{2}}{2 (σ_{s}^{2} + σ_{i}^{2})}]

，（1）

P_{r} = \sum_{i = 1}^{N} P_{i}

，（2）

P_{i} = η_{s} η_{a} \frac{π d_{r}^{2}}{4 R_{i}^{2} S_{0}} E \frac{ρ}{Ω} A_{i} \frac{1}{\sqrt[]{2}} e x p [- \frac{{(t - 2 R_{i} / c)}^{2}}{4 σ_{s}^{2}}]

。（3）

P_{i} = M \frac{A_{i}}{R_{i}^{2}} e x p [- \frac{{(t - 2 R_{i} / c)}^{2}}{4 σ_{s}^{2}}]

。（4）

M = \frac{π}{4 \sqrt[]{2}} η_{s} η_{a} \frac{d_{r}^{2}}{S_{0}} E \frac{ρ}{Ω}

。（5）

τ_{i} = \frac{A_{i}}{\sum A_{i}} = \frac{R_{i}^{2} \cdot P_{i}}{\sum R_{i}^{2} \cdot P_{i}}

。（6）

τ_{i} = \frac{c^{2} t_{i}^{2} \cdot P_{i}}{\sum c^{2} t_{i}^{2} \cdot P_{i}} = \frac{t_{i}^{2} \cdot P_{i}}{\sum t_{i}^{2} \cdot P_{i}}

。（7）

Qun Hao, Bin Han, Ao Yang, Long Liang, Honglin Chen, Jie Cao. Spatial Variable Resolution Scanning Three-Dimensional Reconstruction Imaging[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106017

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