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

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 thre...

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Main Authors:	Wenlin Gong, Hong Yu, Chengqiang Zhao, Zunwang Bo, Mingliang Chen, Wendong Xu
Format:	Article
Language:	English
Published:	MDPI AG 2016-12-01
Series:	Remote Sensing
Subjects:	ghost imaging (GI) lidar speckle compressive imaging
Online Access:	http://www.mdpi.com/2072-4292/8/12/991

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spelling	doaj-e4690b0cd4994324b59b0472b64df42c2020-11-24T23:07:27ZengMDPI AGRemote Sensing2072-42922016-12-0181299110.3390/rs8120991rs8120991Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved TechniqueWenlin Gong0Hong Yu1Chengqiang Zhao2Zunwang Bo3Mingliang Chen4Wendong Xu5Key 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, ChinaKey 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, ChinaResearch Laboratory for High Density Optical Storage, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaKey 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, ChinaKey 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, ChinaResearch Laboratory for High Density Optical Storage, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, ChinaGhost 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.http://www.mdpi.com/2072-4292/8/12/991ghost imaging (GI)lidarspecklecompressive imaging
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Wenlin Gong Hong Yu Chengqiang Zhao Zunwang Bo Mingliang Chen Wendong Xu
spellingShingle	Wenlin Gong Hong Yu Chengqiang Zhao Zunwang Bo Mingliang Chen Wendong Xu Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique Remote Sensing ghost imaging (GI) lidar speckle compressive imaging
author_facet	Wenlin Gong Hong Yu Chengqiang Zhao Zunwang Bo Mingliang Chen Wendong Xu
author_sort	Wenlin Gong
title	Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
title_short	Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
title_full	Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
title_fullStr	Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
title_full_unstemmed	Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique
title_sort	improving the imaging quality of ghost imaging lidar via sparsity constraint by time-resolved technique
publisher	MDPI AG
series	Remote Sensing
issn	2072-4292
publishDate	2016-12-01
description	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.
topic	ghost imaging (GI) lidar speckle compressive imaging
url	http://www.mdpi.com/2072-4292/8/12/991
work_keys_str_mv	AT wenlingong improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique AT hongyu improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique AT chengqiangzhao improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique AT zunwangbo improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique AT mingliangchen improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique AT wendongxu improvingtheimagingqualityofghostimaginglidarviasparsityconstraintbytimeresolvedtechnique
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Improving the Imaging Quality of Ghost Imaging Lidar via Sparsity Constraint by Time-Resolved Technique

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