Structured image reconstruction for three-dimensional ghost imaging lidar

被引：63
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
相关论文
共 50 条
  • [21] Three-dimensional noisy image restoration using filtered extrapolation and deconvolution
    Ponti-, Moacir P., Jr.
    Mascarenhas, Nelson D. A.
    Ferreira, Paulo J. S. G.
    Suazo, Claudio A. T.
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2013, 7 (01) : 1 - 10
  • [22] Advances in high-resolution imaging - techniques for three-dimensional imaging of cellular structures
    Lidke, Diane S.
    Lidke, Keith A.
    [J]. JOURNAL OF CELL SCIENCE, 2012, 125 (11) : 2571 - 2580
  • [23] GPU-accelerated real-time reconstruction in Python']Python of three-dimensional datasets from structured illumination microscopy with hexagonal patterns
    Gong, Hai
    Guo, Wenjun
    Neil, Mark A. A.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2021, 379 (2199):
  • [24] A Review on Dual-Lens Fluorescence Microscopy for Three-Dimensional Imaging
    Li, Xiaoyan
    Han, Yubing
    Liu, Wenjie
    Kuang, Cuifang
    Liu, Xu
    Hao, Xiang
    [J]. FRONTIERS IN PHYSICS, 2020, 8
  • [25] Fast three-dimensional super-resolution photoacoustic microscopy imaging
    Amjadian, Mohammadreza
    Mostafavi, Seyed Masood
    Kavehvash, Zahra
    Faez, Rahim
    [J]. OPTICAL ENGINEERING, 2021, 60 (12)
  • [26] Experimental microwave imaging of three-dimensional targets with different inversion procedures
    Chaumet, P. C.
    Belkebir, K.
    Sentenac, A.
    [J]. JOURNAL OF APPLIED PHYSICS, 2009, 106 (03)
  • [27] Three-dimensional imaging through patterned type-1 microscopy
    Saavedra, G.
    Gimeno-Gomez, A.
    Martinez-Corral, M.
    Sola, J.
    Sanchez-Ortiga, E.
    [J]. OPTICS EXPRESS, 2022, 30 (01): : 511 - 521
  • [28] Structured Illumination Microscopy Image Reconstruction Algorithm
    Lal, Amit
    Shan, Chunyan
    Xi, Peng
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2016, 22 (04) : 50 - 63
  • [29] Geometry based three-dimensional image processing method for electronic cluster eye
    Wu, Sidong
    Zhang, Gexiang
    Zhu, Ming
    Jiang, Tao
    Neri, Ferrante
    [J]. INTEGRATED COMPUTER-AIDED ENGINEERING, 2018, 25 (03) : 213 - 228
  • [30] Evaluation of three-dimensional iterative image reconstruction in C-arm-based interventional cone-beam CT A phantom study in comparison with customary reconstruction technique
    Suzuki, Shigeru
    Katada, Yoshiaki
    Takayanagi, Tomoko
    Sugawara, Haruto
    Ishikawa, Takuya
    Yamamoto, Yuzo
    Wada, Hiroo
    [J]. MEDICINE, 2019, 98 (13)
12345