Ghost Imaging Lidar via Sparsity Constraints in Real Atmosphere

Mingliang Chen,Wenlin Gong,Zunwang Bo,Xuyang Xu,Wendong Xu,Shensheng Han,Chengqiang Zhao,Enrong Li,Xia Shen

doi:10.4236/opj.2013.32b021

Abstract

We present a series of results acquired at a 2-kilometer distance using our lidar system under several weather conditions, clear, cloudy, light rain, moderately foggy, and night. The experimental results show that ghost imaging lidar via spar-sity constraints can realize imaging in all these weather conditions.

Highlights

In recent years, thanks to the development of laser technology and laser detection techniques, several lidar techniques have been developed, such as spot scanning imaging lidar [1], 3D imaging lidar [2,3,4] and synthetic aperture imaging lidar [5,6,7]
We present a series of results acquired at a 2-kilometer distance using our lidar system under several weather conditions, clear, cloudy, light rain, moderately foggy, and night
The linear reconstruction algorithm was first developed [16], nonlinear algorithms are usually used in a GISC lidar system since they better exploits the information from the collected data [8, 14, 15]

Summary

Introduction

Thanks to the development of laser technology and laser detection techniques, several lidar techniques have been developed, such as spot scanning imaging lidar [1], 3D imaging lidar [2,3,4] and synthetic aperture imaging lidar [5,6,7]. Ghost imaging lidar via sparsity constraints (GISC lidar) is a newly developed imaging lidar technique based on the ghost imaging principle [8]. It gets target global information with a highly sensitive bucket detector, and the image is reconstructed with some algorithms. Most researches about ghost imaging in atmosphere are theoretical [9, 10] or laboratory experiments [11, 12]. We shall present the GISC lidar experimental results under several weather conditions

Experiments

Findings

Conclusions