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Wavefront Reconstruction by its Slopes via Physics-Informed Neural Networksстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 8 октября 2025 г.
- Авторы: Romanenko T.E., Razgulin A.V., Iroshnikov N.G., Larichev A.V.
- Журнал: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Номер: XLVIII-2/W9-2025
- Год издания: 2025
- Издательство: International Society for Photogrammetry and Remote Sensing
- Местоположение издательства: Hannover, Germany
- Первая страница: 233
- Последняя страница: 240
- DOI: 10.5194/isprs-archives-xlviii-2-w9-2025-233-2025
- Аннотация: The problem of wavefront reconstruction by its slopes, related to the the phase recovery of a light wave based on Shack-Hartmannsensor data, is considered. A reconstruction method based on the application of physics-informed neural networks to slope measurementdata on both regular and irregular grids in two modifications WRPINN and WRRADPINN is proposed. A comparison with thereconstruction method based on the variational approach combined with the projection method using a fractional smoothness stabilizeron typical smooth, nonsmooth, and discontinuous wavefronts defined on a regular grid is given. The results of the method’sperformance on irregular grids and with partially missing data are analyzed, leading to the conclusion about its effectiveness inhandling such data.
- Добавил в систему: Ларичев Андрей Викторович
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