Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
文献类型：期刊论文
| 作者 | Bo, Zunwang; Xu, Wendong; Chen, Mingliang; Zhao, Chengqiang; Yu, Hong; Gong, Wenlin |
| 刊名 | Remote Sens.
 |
| 出版日期 | 2016 |
| 卷号 | 8期号:12 |
| 通讯作者 | gongwl@siom.ac.cn ; yuhong@siom.ac.cn ; chqzhao@siom.ac.cn ; zwbo@siom.ac.cn ; cml2008@siom.ac.cn ; xuwendong@siom.ac.cn |
| 英文摘要 | Ghost imaging via sparsity constraint (GISC)which is developing into a new staring imaging lidarcan obtain both the range information and spatial distribution of a remote target with the use of the measurements below the Nyquist limit. In this work, schematics of both two-dimensional (2D) and three-dimensional (3D) GISC lidar are introduced. Compared with the 2D GISC lidar, we demonstrate by both simulation and experimentally that the signal-to-noise ratio of the 3D GISC lidar can be dramatically enhanced when a time-resolved technique is used to record the target's reflection signals and the orthogonal characteristic of the target's 3D surface structure is taken as a priori in the image reconstruction process. Some characteristics of the 2D and 3D GISC lidar systems are also discussed. |
| 收录类别 | SCI |
| 资助信息 | Hi-Tech Research and Development Program of China [2013AA122901]; Natural Science Foundation of China [61571427, 61405223]; Youth Innovation Promotion Association CAS [2013162] |
| WOS记录号 | WOS:000392489400020 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/27790]  |
| 专题 | 上海光学精密机械研究所_量子光学重点实验室 |
| 作者单位 | 中国科学院上海光学精密机械研究所 |
| 推荐引用方式 GB/T 7714 | Bo, Zunwang,Xu, Wendong,Chen, Mingliang,et al. Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique[J]. Remote Sens.,2016,8(12). |
| APA | Bo, Zunwang,Xu, Wendong,Chen, Mingliang,Zhao, Chengqiang,Yu, Hong,&Gong, Wenlin.(2016).Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique.Remote Sens.,8(12). |
| MLA | Bo, Zunwang,et al."Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique".Remote Sens. 8.12(2016). |
入库方式： OAI收割
来源：上海光学精密机械研究所
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