Open Access
Issue
J. Eur. Opt. Society-Rapid Publ.
Volume 22, Number 1, 2026
Article Number 32
Number of page(s) 15
DOI https://doi.org/10.1051/jeos/2026027
Published online 07 May 2026
  1. Chen X, Qiu C, Zhang Z, A multiscale method for infrared ship detection based on morphological reconstruction and two-branch compensation strategy, Sensors 23, 7309 (2023). https://doi.org/10.3390/s23167309. [Google Scholar]
  2. Song W et al., Ship detection and identification in SDGSAT-1 glimmer images based on the glimmer YOLO model, Int, J. Digital Earth 16(2), 4687–4706 (2023).https://doi.org/10.1080/17538947.2023.2277796. [Google Scholar]
  3. Kim DG et al., Comparison of measured and simulated IR signals from a scaled model ship, Proc. Spie 8857, 438–445 (2013). https://doi.org/10.1117/12.2024155. [Google Scholar]
  4. Bin C et al., Infrared simulation research based on warships and ocean wake background, Comp. Dig. Eng. 42(7), 1248–1250 (2014).http://doi.org/10.3969/j.issn1672-9722.2014.07.032. [Google Scholar]
  5. Lin J et al., Infrared radiation characteristics simulation of exhaust suppression type ships, Infrared Phys. Technol. 141, 105499 (2024). https://doi.org/10.1016/j.infrared.2024.105499. [Google Scholar]
  6. Jiang Z et al., Simulation method for infrared radiation transmission characteristics of typical ship targets based on optical remote sensing, Concurrency Computat. Pract. Exper., e7515 (2022). https://doi.org/10.1002/cpe.7515. [Google Scholar]
  7. Zhang CW et al., Electromagnetic scattering and imaging simulation of extremely large-scale sea-ship scene based on GPU parallel technology, J. Electron Sci. Technol. 22(2), 16–23 (2024https://doi.org/10.1016/j.jnlest.2024.100257. [Google Scholar]
  8. Wang M et al., Research on modeling methods of infrared radiation characteristics of sea surface targets, AOPC 2024: Infrared Technology and Applications. Proc. Spie 13493, 84–92 (2024).https://doi.org/10.1117/12.3047745. [Google Scholar]
  9. Bo S et al., Simulation method of high resolution satellite imaging for sea surface target, Infrared Laser Eng. 50(12), 20210127 (2021https://doi.org/10.3788/IRLA20210127 [Google Scholar]
  10. Jiang L et al., Near infrared scene simulation based on reflectance of typical target, Acta Photonica Sinica, 43(8), 132–137 (2014). https://doi.org/10.3788/gzxb20144308.0810004. [Google Scholar]
  11. Wang X et al., Multi – band infrared radiation characterization and simulation analysis for aerial target, Acta Photonica Sinica 49(5), 110–120 (2020). http://doi.org/10.3788/gzxb20204905.0511002. [Google Scholar]
  12. Laleh R E, Ghasemloo N, Calculate thermal infrared intensity of the hull’s military ship, J. Geogr. Inf. Syst. 6(4), 317–329 (2014). http://doi.org/10.4236/jgis.2014.64029. [Google Scholar]
  13. Llorente SDPM, Charris VD, Torres JMG, Infrared signature analysis of surface ships, Ciencia y tecnología de buques 8(17), 57–68 (2015). https://doi.org/10.25043/19098642.121. [Google Scholar]
  14. Sun W et al., Digital imaging simulation and closed-loop verification model of infrared payloads in space-based cloud–sea scenarios, Remote Sens. 17(16), 2900 (2025). https://doi.org/10.3390/rs17162900. [Google Scholar]
  15. Li M et al., Infrared image generation method based on visible images and its detail modulation, Inf. Technol. 40, 34–38 (2018). https://link.cnki.net/urlid/53.1053.TN.20180131.1321.014 [Google Scholar]
  16. Yuan H et al., Space-based full chain multi-spectral imaging features accurate prediction and analysis for aircraft plume under sea/cloud background, Opt. Express 27(18), 26027–26043 (2019). https://doi.org/10.1364/oe.27.026027. [Google Scholar]
  17. Yuan H et al., Performance analysis of the infrared imaging system for aircraft plume detection from geostationary orbit, Appl. Opt 58(7), 1691–1698 (2019). https://doi.org/10.1364/AO.58.001691. [Google Scholar]
  18. Xie C et al., Prediction and simulation analysis of infrared polarization imaging characteristics of aerodynamic heating targets in orbit under sea background, Infrared Laser Eng. 53(11), 20240222 (2024). http://doi.org/10.3788/IRLA20240222. [Google Scholar]
  19. Bai Y et al., Occlusion and deformation handling visual tracking for UAV via attention-based mask generative network, Remote Sens. 14, 4756 (2022). https://doi.org/10.3390/rs14194756. [Google Scholar]
  20. Wang P et al., Traffic thermal infrared texture generation based on siamese semantic CycleGAN, Infrared Phys. Technol. 116, 103748 (2021). https://doi.org/10.1016/j.infrared.2021.103748. [Google Scholar]
  21. Pan M et al., Infrared image generation technique based on GAN network, Flight Control Detect. 4, 1–6 (2021). http://doi.org/10.20249/j.cnki.2096-5974.2021.04.001. [Google Scholar]
  22. Liang X, Meng Q, Wang C, Infrared thermal image simulation of ships at sea in the long-wave band, Appl. Opt. 46(4), 877–885 (2025). http://doi.org/10.5768/JAO202546.0404001. [Google Scholar]
  23. Li H et al., Hsiao framework in feature selection for hyperspectral remote sensing images based on jeffries-matusita distance, IEEE Trans. Geosci. Remote Sens. 63,1–21 (2025). https://doi.org/10.1109/TGRS.2025.3527138. [Google Scholar]
  24. Vanhelmont Q, Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS, ISPRS J. Photogramm. Remote Sens. 166, 390–402 (2020). https://doi.org/10.1016/j.isprsjprs.2020.06.007. [Google Scholar]
  25. Yang XF, Ye M, Mao DL, Application of BRDF model in land cover mapping, J. East China normal Univ. (Nat. Sci.) 01, 113–124 (2017). https://doi.org/10.3969/j.issn.1000-5641.2017.01.013. [Google Scholar]
  26. Wand YP et al., Evaluation and analysis of effects on the different interpolation temperature algorithms, Inf. Technol. 44(6), 31–35 (2020). http://doi.org/10.13274/j.cnki.hdzj.2020.06.008. [Google Scholar]
  27. Liu Y et al., A non-uniform spatiotemporal kriging interpolation algorithm for landslide displacement data. Bulletin of Engineering Geology and the Environment, 78(6), 4153–4166 (2019).https://doi.org/10.1007/s10064-018-1388-1. [Google Scholar]
  28. Long Y Q et al., Difference analysis of slope extraction from DEM based on different directional reference systems, J. Mt. Sci. 36(3), 462–469 (2018). https://doi.org/10.16089/j.cnki.1008-2786.000342. [Google Scholar]
  29. Banker ND, Numerical investigation of heat transfer in aircraft engine blade using k ∈ and SST k ω model, IOP Conference Series: Materials Science and Engineering 1013(1), 012027 (5pp) (2021). https://doi.org/10.1088/1757-899X/1013/1/012027. [Google Scholar]
  30. Huang Y, Liao X, Lu Q, Infrared image interpolation algorithm based on bilinear interpolation and local mean, Comput. Technol. Autom. 39(2), 133–137 (2020). http://doi.org/10.16339/j.cnki.jsjsyzdh.202002027. [Google Scholar]
  31. Zhang L, Qiao K, Huang S, Spectrum selection and performance analysis for ship detection, J. Infrared Millim. Waves 43(2), 234–240 (2024). https://doi.org/10.11972/j.issn.1001-9014.2024.02.013. [Google Scholar]
  32. Wang X, Gao SL, Li FM, Infrared imaging modeling and simulation of aerial targets based on BRDF, J. Infrared Milliwave 38(2), 182–187 (2019). http://doi.org/10.11972/j.issn.1001-9014.2019.02.010. [Google Scholar]
  33. Alonso S et al., A solar altitude angle model for efficient solar energy predictions, Sensors 20(5), 1391 (2020). https://doi.org/10.3390/s20051391. [Google Scholar]
  34. Huang Z L et al., Infrared simulation imaging of ship wakes and sea surface, J. Appl. Opt. 44(2), 286–294 (2023https://doi.org/10.5768/JAO202344.0201007. [Google Scholar]

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