High-resolution incoherent interference imaging without phase measurement

被引:0
|
作者
Yao, Mulin [1 ,2 ,3 ]
Liu, Shengjie [1 ,2 ,3 ]
Li, Junwei [1 ,2 ,3 ]
Li, Min [1 ,2 ]
Wang, Shengqian [1 ,2 ,3 ]
Wei, Kai [4 ]
Cui, Hao [5 ]
机构
[1] Natl Lab Adapt Opt, Chengdu, Sichuan, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu, Sichuan, Peoples R China
[3] Univ Chinese Acad Sci, Sch Optoelect, Beijing, Peoples R China
[4] Zhejiang Univ, Coll Opt Sci & Engn, Hangzhou, Zhejiang, Peoples R China
[5] Univ Elect Sci & Technol China, Sch Optoelect Sci & Engn, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金; 中国科学院西部之光基金;
关键词
complex coherence; image reconstruction; interference imaging; phase retrieval algorithm; RETRIEVAL; ALGORITHMS; THEOREM;
D O I
10.1002/mop.34305
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Aiming for long-distance, high-resolution, passive imaging, we use fiber coupling to replace the spatial coupling of the segmented planar imaging detector for electro-optical reconnaissance imaging system and propose a novel incoherent interference imaging method, which avoids the problem that the resolution of the imaging system is limited by the size of the silicon wafer. The method uses a phase retrieval algorithm and does not need to measure the phase in the system, effectively avoiding the intrinsic jitter problem of fiber optics. The feasibility of the method in achieving target image reconstruction was verified through simulation; furthermore, an indoor two-dimensional discrete sampling imaging experiment for a simple four-rod target was conducted, and an outdoor one-dimensional feature identification experiment for a two-rod target was also performed. The results showed that the resolution exceeds the diffraction limit and the reconstruction error of target size is less than 3.5%.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Ensemble Diffraction Microscopy: An Imaging Technique That Allows High-Resolution Diffraction Imaging Using Both Totally and Partially Coherent Sources
    Chen, Ning-Jung
    Cao, Huai-Yu
    Lin, Jhih-Min
    Huang, Yu-Shan
    Tsai, Yi-Wei
    Chen, Chien-Chun
    IEEE PHOTONICS JOURNAL, 2023, 15 (02):
  • [22] Optimizing and applying high-resolution, in-line laboratory phase-contrast X-ray imaging for low-density material samples
    Zboray, Robert
    JOURNAL OF MICROSCOPY, 2021, 282 (02) : 123 - 135
  • [23] Simple and robust synchrotron and laboratory solutions for high-resolution multimodal X-ray phase-based imaging
    Endrizzi, M.
    Vittoria, F. A.
    Diemoz, P. C.
    Kallon, G. K.
    Basta, D.
    Zamir, A.
    Hagen, C. K.
    Wagner, U. H.
    Rau, C.
    Robinson, I. K.
    Olivo, A.
    X-RAY MICROSCOPY CONFERENCE 2016 (XRM 2016), 2017, 849
  • [24] High-resolution scanning phase retrieval with a probe beam of unknown modulus
    Nakajima, N
    APPLIED OPTICS, 1997, 36 (17): : 3904 - 3911
  • [25] Performance of high-resolution X-band radar for rainfall measurement in The Netherlands
    van de Beek, C. Z.
    Leijnse, H.
    Stricker, J. N. M.
    Uijlenhoet, R.
    Russchenberg, H. W. J.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2010, 14 (02) : 205 - 221
  • [26] Scalable High-Resolution Single-Pixel Imaging via Pattern Reshaping
    Osicheva, Alexandra
    Sych, Denis
    SENSORS, 2024, 24 (14)
  • [27] HRNet: High-Resolution Neural Network for Human Imaging Using mmWave Radar
    Jayaweera, Sakila S.
    Regani, Sai Deepika
    Hu, Yuqian
    Wang, Beibei
    Liu, K. J. Ray
    IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (01): : 881 - 893
  • [28] Indirect high-resolution transmission electron microscopy: Aberration measurement and wavefunction reconstruction
    Kirkland, AI
    Meyer, RR
    MICROSCOPY AND MICROANALYSIS, 2004, 10 (04) : 401 - 413
  • [29] High-Resolution X-Ray Lensless Imaging by Differential Holographic Encoding
    Zhu, Diling
    Guizar-Sicairos, Manuel
    Wu, Benny
    Scherz, Andreas
    Acremann, Yves
    Tyliszczak, Tolek
    Fischer, Peter
    Friedenberger, Nina
    Ollefs, Katharina
    Farle, Michael
    Fienup, James R.
    Stoehr, Joachim
    PHYSICAL REVIEW LETTERS, 2010, 105 (04)
  • [30] Manifold Low Rank and Sparse Tensor Method for High-Resolution Radar Imaging
    Xu, Gang
    Tan, Biqin
    Wu, Chengye
    Zhang, Bangjie
    Yu, Hanwen
    Xing, Mengdao
    Hong, Wei
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63