外文题目: Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
作者: Gong, Wenlin; Yu, Hong; Zhao, Chengqiang; Bo, Zunwang; Chen, Mingliang; Xu, Wendong
刊名: Remote Sens.
年: 2016 卷: 8 期: 12 文章编号：991
英文关键词:
ghost imaging (GI); lidar; speckle; compressive imaging
INVERSE PROBLEMS; THERMAL LIGHT; RECONSTRUCTION
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.


文献类型: 期刊论文
正文语种: English
收录类别: SCIEI
DOI: 10.3390/rs8120991


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