Algorithm for spatial-spectral data correction captured by a multispectral camera

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Imaging spectrometers provide non-contact and high-performance assessment of the physical and chemical object properties distribution, the effectiveness of which depends on the data accuracy obtained by the device. The paper introduces a method to correct spatial-spectral distortions in images captured by the imaging spectrometer based on the optical aperture division.

Sobre autores

A. Zolotukhina

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences; National Research University "Moscow Power Engineering Institute"

Email: zolotukhina.aa@nicup.ru
Moscow, Russia; Moscow, Russia

A. Machikhin

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences; National Research University "Moscow Power Engineering Institute"

Moscow, Russia; Moscow, Russia

A. Guryleva

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences

Moscow, Russia

G. Nesterov

Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences

Moscow, Russia

V. Tedeeva

The North Caucasian Research Institute of Mountain and Piedmont Agriculture — the Affiliate of Vladikavkaz Scientific Centre of the Russian Academy of Sciences

Mikhailovskoye, Russia

Bibliografia

  1. Garini Y., Young I.T., McNamara G. // Cytometry Part A. 2006. V. 69A. No. 10. P. 735.
  2. Deng L., Mao Z., Li X. et al. // ISPRS. 2018. V. 69A. P. 124.
  3. Baier M.J., McDonald A.J., Clements K.A. et al. // Proc. Com. Inst. 2021. V. 38. No. 3. P. 4433.
  4. Yu X., Sun Y., Fang A. et al. // Proc. 2nd ICSAI (Shanghai, 2014). P. 871.
  5. Мачихин А.С., Хохлов Д.Д., Балишев В.И., Пожар В.Э. // Изв. РАН. Сер. физ. 2018. Т. 82. № 11. С. 1540; Machikhin A.S., Khokhlov D.D., Batshev V.I., Pozhar V.E. // Bull. Russ. Acad. Sci. Phys. 2018. V. 82. No. 11. P. 1403.
  6. Clancy N.T., Jones G., Maier-Hein L. et al. // Med. Image Anal. 2020. V. 63. Art. No. 101699.
  7. Henriksen M.B., Garrett J.L., Prentice E.F. et al. // Proc. 10th WHISPERS (Amsterdam, 2019). Art. No. 8921350.
  8. Minark R., Langhammer J., Hanus J. // Remote Sens. 2019. V. 11. No. 20. Art. No. 2428.
  9. Мачихин А.С., Балишев В.И., Крюков А.В. Способ одновременной регистрации мультиспектральных изображений. Патент РФ № 2800054, кл. G011 5/08, G011 3/02. 2023.
  10. Балишев В.И., Крюков А.В., Мачихин А.С., Золотухина А.А. // Опт. журн. 2023. Т. 90. № 11. С. 113; Batshev V.I., Machikhin A.S., Krioukov A.V., Zolotukhina A.A. // J. Opt. Tech. 2024. V. 90. No. 11. P. 706.
  11. Cao H., Gu X., Wei X. et al. // Remote Sens. 2021. V. 12. No. 24. Art. No. 4012.
  12. Wu Y., Jiang S., Xu Z. et al. // Front. Optoelectron. 2015. V. 8. No. 3. P. 319.
  13. Pu R. Hyperspectral remote sensing: Fundamentals and practices. CRC Press, 2017. 466 p.
  14. Zolotukhina A., Machikhin A., Guryleva A. et al. // Remote Sens. 2024. V. 16. Art. No. 1073.
  15. Croft H., Chen J.M., Luo X. et al. // Glob. Chang. Biol. 2017. V. 23. No. 9. P. 3524.

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