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

Wenlin Gong,Mingliang Chen,Hong Yu,Chengqiang Zhao,Wendong Xu,Zunwang Bo

doi:10.3390/rs8120991

Wenlin Gong, Mingliang Chen + Show 4 more

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https://doi.org/10.3390/rs8120991

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Abstract

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.

Highlights

As an important detection tool, lidar has been widely used in remote sensing in recent decades. great progress in remote imaging has been made with methods such as scanning imaging lidar and pulsed floodlight-illumination imaging lidar, the present methods have limitations to either the detection range or the application mode [1,2,3]
Great progress in remote imaging has been made with methods such as scanning imaging lidar and pulsed floodlight-illumination imaging lidar, the present methods have limitations to either the detection range or the application mode [1,2,3]
Later, when the time-resolved technique was used to measure the target’s reflection signals, we proposed a three-dimensional ghost imaging lidar via sparsity constraint (3D Ghost imaging via sparsity constraint (GISC) lidar) system and obtained 3D imagery of a scene at a range of approximately 1.0 km [18]

Summary

Introduction

As an important detection tool, lidar has been widely used in remote sensing in recent decades. great progress in remote imaging has been made with methods such as scanning imaging lidar and pulsed floodlight-illumination imaging lidar, the present methods have limitations to either the detection range or the application mode [1,2,3]. Later, when the time-resolved technique was used to measure the target’s reflection signals, we proposed a three-dimensional ghost imaging lidar via sparsity constraint (3D GISC lidar) system and obtained 3D imagery of a scene at a range of approximately 1.0 km [18]. For both the 2D GISC lidar and 3D GISC lidar, we had used a quite general prior knowledge that all natural objects could be sparsely expressed in a proper representation

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