Emerging Imaging and Sensing Technologies for Security and Defence VII 2022
DOI: 10.1117/12.2639979
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Micro-scanning of a focal plane detector array in a single-photon LiDAR system for improved depth and intensity image reconstruction

Abstract: Sub-pixel micro-scanning is a relatively simple way of utilizing a low pixel count sensor to better realise the resolution capabilities of a given objective lens. This technique accomplishes this by shifting the sensor array in the image plane through distances less than the pixel dimensions, gathering multiple images from different viewpoints that can be combined into a single, more detailed image. Applying this technique to a single-photon counting light detection and ranging (LiDAR) system allows for improv… Show more

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Cited by 1 publication
(2 citation statements)
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References 30 publications
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“…This method has also been applied in singlephoton imaging in recent years [50] . For instance, Li et al utilized the sub-pixel scanning approach to achieve super-resolution imaging beyond the diffraction limit over long distances [45,46] . To achieve 3D sub-voxel scanning, we employed a piezo tip/ tilt platform with a mirror and an arbitrary function generator (AFG) for sub-pixel scanning in the spatial domain and subbin scanning in the temporal domain, respectively.…”
Section: Static Target: 3d Sub-voxel Scanning Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…This method has also been applied in singlephoton imaging in recent years [50] . For instance, Li et al utilized the sub-pixel scanning approach to achieve super-resolution imaging beyond the diffraction limit over long distances [45,46] . To achieve 3D sub-voxel scanning, we employed a piezo tip/ tilt platform with a mirror and an arbitrary function generator (AFG) for sub-pixel scanning in the spatial domain and subbin scanning in the temporal domain, respectively.…”
Section: Static Target: 3d Sub-voxel Scanning Approachmentioning
confidence: 99%
“…Here, we present a single-photon LiDAR system based on an InGaAs/InP SPAD detector array to capture high-resolution 3D profiles of static and moving targets concealed by double-layer camouflage nets. For static targets, we reported a sub-voxel scanning approach [45,46] combined with a 3D deconvolution algorithm to realize high-resolution imaging. Using this approach, we experimentally demonstrated 3D imaging through camouflage netting with a 3× improvement in spatial resolution and a 7.5× improvement in depth resolution.…”
Section: Introductionmentioning
confidence: 99%