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Multi-Temporal Resolution-Guided 3-D Imaging for Array-Based Single-Photon LiDAR
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DOI：10.1109/JPHOT.2025.3645783.png)
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Abstract
En 中文
Using a 1550 nm array-based single-photon LiDAR system, we demonstrated depth profiling of both static and dynamic targets up to a distance of 10 kilometers. The system comprises a 1550 nm pulsed laser source, a bistatic optical transceiver system, and a 64 x 64 InGaAs/InP Single Photon Avalanche Diode (SPAD) array camera, with an angular resolution of 20 mu rad. By employing a recovery optimization algorithm guided by multi-scale time resolution, we utilized unsupervised learning methods to achieve three-dimensional (3-D) image segmentation. Subsequently, we accomplished pixel-level algorithm matching, facilitating efficient long-range 3-D imaging reconstruction with significantly reduced binary frame data. Notably, after offline processing of real point cloud data collected by our system, we obtained depth images of various targets within a 4 to 10 km range. Furthermore, we successfully captured dynamic 3-D video of targets at a frame rate exceeding 50 fps. The video was reconstructed using offline processing with an average of fewer than 2 photons returned per pixel. These depth results highlight the potential of the proposed system and reconstructed method for depth profiling, feature extraction, and target recognition of distant static and dynamic targets.
Keywords:
Single-photon detector
three-dimensional video
LiDAR
LiDAR
LiDAR
Journal
I
IF:
2.4
Papers:
194
Citations:
1.1W