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Open AccessLetter

Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique

1
Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
2
Research Laboratory for High Density Optical Storage, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
*
Author to whom correspondence should be addressed.
Academic Editors: Xiaofeng Li and Prasad S. Thenkabail
Remote Sens. 2016, 8(12), 991; https://doi.org/10.3390/rs8120991
Received: 22 July 2016 / Revised: 25 November 2016 / Accepted: 29 November 2016 / Published: 1 December 2016
Ghost imaging via sparsity constraint (GISC)—which is developing into a new staring imaging lidar—can 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. View Full-Text
Keywords: ghost imaging (GI); lidar; speckle; compressive imaging ghost imaging (GI); lidar; speckle; compressive imaging
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MDPI and ACS Style

Gong, W.; Yu, H.; Zhao, C.; Bo, Z.; Chen, M.; Xu, W. Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique. Remote Sens. 2016, 8, 991. https://doi.org/10.3390/rs8120991

AMA Style

Gong W, Yu H, Zhao C, Bo Z, Chen M, Xu W. Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique. Remote Sensing. 2016; 8(12):991. https://doi.org/10.3390/rs8120991

Chicago/Turabian Style

Gong, Wenlin; Yu, Hong; Zhao, Chengqiang; Bo, Zunwang; Chen, Mingliang; Xu, Wendong. 2016. "Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique" Remote Sens. 8, no. 12: 991. https://doi.org/10.3390/rs8120991

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