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ISSN: 1023-5086

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ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

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DOI: 10.17586/1023-5086-2023-90-11-102-112

УДК: 004.932.2

Algorithm for correction of geometric distortions of spectral images recorded by an acousto-optical hyperspectrometer under conditions of angular deviations

Shipko, V.V., Pozhar, V.E.

Full text on elibrary.ru

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Шипко В.В., Пожар В.Э. Алгоритм коррекции геометрических искажений спектральных изображений, регистрируемых акустооптическим гиперспектрометром в условиях угловых отклонений // Оптический журнал. 2023. Т. 90. № 11. С. 102–112. http://doi.org/10.17586/1023-50

 

Shipko V.V., Pozhar V.E. Algorithm for correction of geometric distortions of spectral images recorded by an acousto-optical hyperspectrometer under conditions of angular deviations [in Russian] // Opticheskii Zhurnal. 2023. V. 90. № 11. P. 102–112. http://doi.org/10.17586/1023-5086-2023-90-11-102-11286-2023-90-11-102-112

For citation (Journal of Optical Technology):

Vladimir Shipko and Vitold Pozhar, "Algorithm for correction of geometric distortions of spectral images recorded using an acousto-optical hyperspectrometer under conditions of angular deviations," Journal of Optical Technology. 90 (11), 699-705 (2024).  https://doi.org/10.1364/JOT.90.000699

Abstract:

Subject of study. The process of formation of spectral images by an acousto-optical hyper-spectrometer under conditions of angular deviations of the equipment carrier is considered. Aim of study. Development of a model of distortion of hyperspectral images generated by an acousto-optical hyperspectrometer under the conditions of angular oscillations of an unmanned aerial vehicle and synthesis of an algorithm for correcting such distortions based on angular data from an inertial navigation system. Method. The research method is based on a photogrammetric model of the formation of spectral images under the conditions of angular deviations of the registration system. Main results. The relationship of hyperspectrometer deviations at the angles of roll, pitch and yaw with the nature of geometric distortions of the recorded spectral images is determined. An algorithm for correcting distortions of spectral images based on the data of an inertial navigation system has been developed. The analysis of experimental and numerical studies of the developed algorithm has shown a sufficiently high accuracy of correction of geometric distortions of images caused by angular fluctuations of the registration system in the range of possible measurement errors. Practical significance. The developed algorithm is computationally simple compared to the known ones, does not require an additional system for registering reference images or complex precalibration, which allows correction of hyperspectral images on a time scale close to real with acceptable quality.

Keywords:

hyperspectral images, geometric distortion, correction, navigation system, acousto-optical tunable filter, unmanned aerial vehicle

OCIS codes: 100.2000, 100.4145

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