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
相关论文
共 50 条
[41]   Modified K-factor image decomposition for three-dimensional super resolution microscopy [J].
Ilovitsh, Tali ;
Weiss, Aryeh ;
Meiri, Amihai ;
Ebeling, Carl G. ;
Amiel, Aliza ;
Katz, Hila ;
Mannasse-Green, Batya ;
Zalevsky, Zeev .
THREE-DIMENSIONAL AND MULTIDIMENSIONAL MICROSCOPY: IMAGE ACQUISITION AND PROCESSING XXIII, 2016, 9713
[42]   A Machine Learning-Assisted Three-Dimensional Image Analysis for Weight Estimation of Radish [J].
Kamiwaki, Yuto ;
Fukuda, Shinji .
HORTICULTURAE, 2024, 10 (02)
[43]   Lamellipod Reconstruction by Three-Dimensional Reflection Interference Contrast Nanoscopy (3D-RICN) [J].
Dejardin, Marie-Julie ;
Hemmerle, Arnaud ;
Sadoun, Anais ;
Hamon, Yannick ;
Puech, Pierre-Henri ;
Sengupta, Kheya ;
Limozin, Laurent .
NANO LETTERS, 2018, 18 (10) :6544-6550
[44]   Three-dimensional reconstruction of fluvial surface sedimentology and topography using personal mobile laser scanning [J].
Williams, Richard David ;
Lamy, Marie-Lou ;
Maniatis, Georgios ;
Stott, Eilidh .
EARTH SURFACE PROCESSES AND LANDFORMS, 2020, 45 (01) :251-261
[45]   Three-dimensional and Higher-order Imaging with Tomographic SAR: Techniques, Applications, Issues [J].
Reigber, Andreas ;
Lombardini, Fabrizio ;
Viviani, Federico ;
Nannini, Matteo ;
del Hoyo, Antonio Martinez .
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, :2915-2918
[46]   Three-dimensional single-molecule localization microscopy imaging based on compressed sensing [J].
Zhang Sai-wen ;
Lin Dan-ying ;
Yu Bin ;
Leng Xiao-ling ;
Zhang Guang-fu ;
Tian Ye ;
Tan Wei-shi .
CHINESE OPTICS, 2020, 13 (05) :1065-1074
[47]   Multihypothesis-Based Compressive Sensing Algorithm for Nonscanning Three-Dimensional Laser Imaging [J].
Gao, Han ;
Zhang, Yanmei ;
Guo, Haichao .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (01) :311-321
[48]   A Two-Stage Three-Dimensional Attention Network for Lightweight Image Super-Resolution [J].
Chen, Lei ;
Yang, Yanjie ;
Zhuang, Xu ;
Wang, Jason ;
Mao, Qin ;
Yue, Hong ;
Wei, Xuekai ;
Cheng, Fei ;
Zong, Xuemei ;
Zhou, Mingliang .
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2023, 37 (13)
[49]   Best tradeoff for remote sensing image fusion based on three-dimensional variation an a trous wavelet [J].
Chen, Shaohui ;
Su, Hongbo ;
Tian, Jing ;
Zhan, Chesheng .
JOURNAL OF APPLIED REMOTE SENSING, 2013, 7
[50]   Phaseless Three-Dimensional Optical Nanoimaging [J].
Govyadinov, Alexander A. ;
Panasyuk, George Y. ;
Schotland, John C. .
PHYSICAL REVIEW LETTERS, 2009, 103 (21)
12345