EDP Sciences logo
Submit your research paper
Search
Menu
All issues Volume 21 / No 1 (2025) J. Eur. Opt. Society-Rapid Publ., 21 1 (2025) 13 References
Open Access
Issue
J. Eur. Opt. Society-Rapid Publ.
Volume 21, Number 1, 2025
Article Number 13
Number of page(s) 10
DOI https://doi.org/10.1051/jeos/2025008
Published online 07 March 2025
  1. Mo D, Chen S, Chen L, Wang P, Shi J, Similarity criteria of target thermal radiation characteristics and their application to infrared radiation of jet engine exhaust system, Int. J. Therm. Sci. 125, 358 (2018). https://doi.org/10.1016/j.ijthermalsci.2017.12.003. [NASA ADS] [CrossRef] [Google Scholar]
  2. Du X, Yang Q, Yang H, Bai J, Shi Y, Infrared radiation characteristics of dagger-type hypersonic missile, Chinese J. Aeronaut. 37, 137 (2024). https://doi.org/10.1016/j.cja.2023.12.010. [NASA ADS] [CrossRef] [Google Scholar]
  3. Chen M, Zhang H, Regulation scheme of turbofan engine nozzle for infrared signature management, Int. J. Aeronaut. Space Sci. 25, 998 (2024). https://doi.org/10.1007/s42405-024-00712-w. [NASA ADS] [CrossRef] [Google Scholar]
  4. Gangoli Rao A, Infrared signature modeling and analysis of aircraft plume, Int. J. Turbo Jet Eng. 28, 187 (2011). https://doi.org/10.1515/tjj.2011.023. [NASA ADS] [Google Scholar]
  5. Zhang J, Qi H, Jiang D, Gao B-H, He M-J, Ren Y, Li K-F, Integrated infrared radiation characteristics of aircraft skin and the exhaust plume, Materials 15, 7726 (2022). https://doi.org/10.3390/ma15217726. [NASA ADS] [CrossRef] [Google Scholar]
  6. Kou T, Zhou Z, Liu H, Yang Y, Lu C, Multispectral radiation envelope characteristics of aerial infrared targets, Opt. Las. Technol. 103, 251 (2018). https://doi.org/10.1016/j.optlastec.2018.01.004. [NASA ADS] [CrossRef] [Google Scholar]
  7. Xu Y, Chen R, Li Y, Zhang P, Yang J, Zhao X, Liu M, Wu D, Multispectral image segmentation based on a fuzzy clustering algorithm combined with Tsallis entropy and a gaussian mixture model, Remote Sens. 11, 2772 (2019). https://doi.org/10.3390/rs11232772. [NASA ADS] [CrossRef] [Google Scholar]
  8. Liu Y, Liu K, Liu G, Radiative heat transfer calculation of oxy-fuel flames using the multi-group full-spectrum K-distribution method, Appl. Therm. Eng. 185, 116344 (2021). https://doi.org/10.1016/j.applthermaleng.2020.116344. [NASA ADS] [CrossRef] [Google Scholar]
  9. Li W, Wang Y, Zhang L, Gao B, He M, Simulation analysis on the characteristics of aerosol particles to inhibit the infrared radiation of exhaust plumes, Materials 17, 3505 (2024). https://doi.org/10.3390/ma17143505. [NASA ADS] [CrossRef] [Google Scholar]
  10. Huang D, Huang S, Dim and small target detection based on characteristic spectrum, J. Indian Soc. Remote. Sens. 46, 1915 (2018). https://doi.org/10.1007/s12524-018-0856-1. [CrossRef] [Google Scholar]
  11. Jiang Z, Zhang J, Ma Y, Mao X, Hyperspectral remote sensing detection of marine oil spills using an adaptive long-term moment estimation optimizer, Remote Sens. 14, 157 (2022). https://doi.org/10.3390/rs14010157. [Google Scholar]
  12. Deng X, Wang Y, Han G, Xue T, Research on a measurement method for middle-infrared radiation characteristics of aircraft, Machines 10, 44 (2022). https://doi.org/10.3390/machines10010044. [CrossRef] [Google Scholar]
  13. Xiao P, Wang X, Tai H, Yin L, Zhang F, Zhao S, in 2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT), Xiamen, China, 4–7 August, (IEEE Computer Society, 2023), p. 349. https://doi.org/10.1109/CCPQT60491.2023.00066. [Google Scholar]
  14. Gong X, Lei Y, Zhang Q, Gan L, Zhang X, Guo L, Machine-learning-based optical spectrum feature analysis for DoS attack detection in IP over optical networks, Opt. Express 32, 3793 (2024). https://doi.org/10.1364/OE.513504. [NASA ADS] [CrossRef] [Google Scholar]
  15. Yang Z, Zhang J, Shan Y, Research on the influence of integrated infrared suppressor exhaust angle on exhaust plume and helicopter infrared radiation, Aerosp. Sci. Technol. 118, 107013 (2021). https://doi.org/10.1016/j.ast.2021.107013. [CrossRef] [Google Scholar]
  16. Chu Q, Li X, Sun Y, Jirigalantu, Sun C, Chen J, Li F, Bayanheshig, Theoretical analysis of a multi-grating-based cross-dispersed spatial heterodyne spectrometer, Opt. Express 31, 18190 (2023). https://doi.org/10.1364/OE.488319. [CrossRef] [Google Scholar]
  17. Zhang W-L, Liu Z-Y, Wang H, Chen Y, Wang Y, Zhao Z-Z, Sun T, Research status of spatial Heterodyne spectroscopy – a review, Microchem. J. 166, 106228 (2021). https://doi.org/10.1016/j.microc.2021.106228. [CrossRef] [Google Scholar]
  18. Li S, Luo H, Li Z, Ding Y, Wang Q, Xiong W, Characteristics of spatial heterodyne spectroscopy for polarization measurement, Appl. Opt. 62, 2207 (2023). https://doi.org/10.1364/AO.481409. [NASA ADS] [CrossRef] [Google Scholar]
  19. Ali Z, Nawaz H, Majeed M, Rashid N, Mohsin M, Raza A, Shakeel M, Ali M, Sabir A, Shahbaz M, Ehsan U, Mahmood Ul Hasan H, Determination of florfenicol by Raman spectroscopy with principal component analysis (PCA) and partial least squares regression (PLSR), Anal. Lett. 57, 1 (2023). https://doi.org/10.1080/00032719.2023.2192942. [Google Scholar]
  20. Khodasevich M, Lyakhnovich A, Eriklioğlu H, Chocolate sample classification by principal component analysis of preprocessed terahertz transmission spectra, J. Appl. Spectrosc. 89, 251 (2022). https://doi.org/10.1007/s10812-022-01351-3. [NASA ADS] [CrossRef] [Google Scholar]
  21. Rullich C, Kiefer J, Principal component analysis to enhance enantioselective Raman spectroscopy, Analyst 144, 2080 (2019). https://doi.org/10.1039/C8AN01886C. [NASA ADS] [CrossRef] [Google Scholar]
  22. Che L, Xiao W, Pan F, Dong B, Zhong Z, Reduction of speckle noise in digital holography by combination of averaging several reconstructed images and modified nonlocal means filtering, Opt. Commun. 426, 9 (2018). https://doi.org/10.1016/j.optcom.2018.05.004. [NASA ADS] [CrossRef] [Google Scholar]
  23. Buades A, Coll B, Morel JM, in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), San Diego, CA, USA, 20-25 June (IEEE, 2005), p. 60. https://doi.org/10.1109/CVPR.2005.38. [Google Scholar]
  24. Buades A, Coll B, Morel JM, in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP ‘05), Philadelphia, PA, USA, 23–23 March (IEEE, 2005), p. ii/25. https://doi.org/10.1109/ICASSP.2005.1415332. [Google Scholar]
  25. Liu J, Wei D, Wroblowski O, Chen Q, Mantel K, Olschewski F, Kaufmann M, Riese M, Analysis and correction of distortions in a spatial heterodyne spectrometer system, Appl. Opt. 58, 2190 (2019). https://doi.org/10.1364/AO.58.002190. [NASA ADS] [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.