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