Structured image reconstruction for three-dimensional ghost imaging lidar

被引：66

作者：

Yu, Hong

Li, Enrong

Gong, Wenlin

Han, Shensheng ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Quantum Opt, Shanghai 201800, Peoples R China

来源：

OPTICS EXPRESS | 2015年 / 23卷 / 11期

基金：

中国国家自然科学基金;

关键词：

SPARSITY; SUPERRESOLUTION; QUALITY;

D O I：

10.1364/OE.23.014541

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A structured image reconstruction method has been proposed to obtain high quality images in three-dimensional ghost imaging lidar. By considering the spatial structure relationship between recovered images of scene slices at different longitudinal distances, orthogonality constraint has been incorporated to reconstruct the three-dimensional scenes in remote sensing. Numerical simulations have been performed to demonstrate that scene slices with various sparse ratios can be recovered more accurately by applying orthogonality constraint, and the enhancement is significant especially for ghost imaging with less measurements. A simulated three-dimensional city scene has been successfully reconstructed by using structured image reconstruction in three-dimensional ghost imaging lidar. (C) 2015 Optical Society of America

引用

收藏

页码：14541 / 14551

页数：11

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