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Three-dimensional ghost imaging lidar via sparsity constraint_上海光学精密机械研究所

上海光学精密机械研究所 免费考研网/2018-05-06

外文题目: Three-dimensional ghost imaging lidar via sparsity constraint
作者: Gong, Wenlin; Zhao, Chengqiang; Yu, Hong; Chen, Mingliang; Xu, Wendong; Han, Shensheng
刊名: Sci Rep
年: 2016 卷: 6 文章编号:26133
英文关键词:

SCATTERING MEDIA; LIGHT
英文摘要:
Three-dimensional (3D) remote imaging attracts increasing attentions in capturing a target's characteristics. Although great progress for 3D remote imaging has been made with methods such as scanning imaging lidar and pulsed floodlight-illumination imaging lidar, either the detection range or application mode are limited by present methods. Ghost imaging via sparsity constraint (GISC), enables the reconstruction of a two-dimensional N-pixel image from much fewer than N measurements. By GISC technique and the depth information of targets captured with time-resolved measurements, we report a 3D GISC lidar system and experimentally show that a 3D scene at about 1.0 km range can be stably reconstructed with global measurements even below the Nyquist limit. Compared with existing 3D optical imaging methods, 3D GISC has the capability of both high efficiency in information extraction and high sensitivity in detection. This approach can be generalized in nonvisible wavebands and applied to other 3D imaging areas.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1038/srep26133


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