Increasing the Accuracy of Constructing Terrain Orthophotomaps from Blur-Distorted Images from an Unmanned Aerial Vehicle

Статья в журнале

A technique for restoring images from an unmanned aerial vehicle (UAV) distorted by blur is considered. Images are reconstructed using the point spread function (PSF), calculated based on a priori information about the basic flight and photographing parameters, as well as the physical properties of the optical system used. The images are processed using well-known methods such as Wiener filtering, Richardson–Lucy deconvolution, Tikhonov filtering, and blind deconvolution.

Журнал:

• Optoelectronics, Instrumentation and Data Processing
• Pleiades Publishing, Ltd. (Jersey City)
• Индексируется в Scopus, Web of Science

Библиографическая запись: Increasing the Accuracy of Constructing Terrain Orthophotomaps from Blur-Distorted Images from an Unmanned Aerial Vehicle [Electronic resource] / A. S. Zakhlebin, M. I. Kuryachii, V. V. Kapustin [et al.] // Optoelectronics, Instrumentation and Data Processing. – 2024. – Vol. 60. – Iss. 1. – P. 131-138. – DOI: 10.3103/s8756699024700110

Индексируется в:

• РИНЦ ( https://www.elibrary.ru/item.asp?id=68286885 )
• ВАК ( https://www.elibrary.ru/item.asp?id=68286885 )