提高利用无人飞行器拍摄的模糊失真图像绘制地形正射影像图的精度

IF 0.5 Q4 PHYSICS, MULTIDISCIPLINARY

Optoelectronics Instrumentation and Data Processing Pub Date : 2024-06-20 DOI:10.3103/s8756699024700110

A. S. Zakhlebin, M. I. Kuryachii, V. V. Kapustin, A. V. Kamenskii, A. K. Movchan

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引用次数: 0

摘要

摘要研究了一种用于恢复因模糊而失真无人驾驶飞行器（UAV）图像的技术。图像是利用点扩散函数（PSF）重建的，该函数是根据有关基本飞行和拍摄参数的先验信息以及所用光学系统的物理特性计算得出的。图像的处理采用了众所周知的方法，如维纳滤波法、理查森-卢西解卷法、提霍诺夫滤波法和盲解卷法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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

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.

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来源期刊

Optoelectronics Instrumentation and Data Processing PHYSICS, MULTIDISCIPLINARY-

CiteScore

1.00

自引率

50.00%

发文量

期刊介绍： The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.