E3S Web Conf.
Volume 75, 2019Regional Problems of Earth Remote Sensing (RPERS 2018)
|Number of page(s)||6|
|Section||Methods and Algorithms for Image Processing|
|Published online||14 January 2019|
Application of parallel version two-dimensional fast Fourier transform algorithm, analog of the Cooley-Tukey algorithm, for digital image processing of satellite data
Siberian Federal University, Institute of Space and Information Technology, Svobodny prospect 79, Krasnoyarsk, 660041, Russian Federation
2 Omsk State Pedagogical University, Naberezhnaya Tukhachevskogo 14, Omsk, 644099, Russian Federation
* Corresponding author: firstname.lastname@example.org
In modern systems of remote sensing two-dimensional fast Fourier transform (FFT) has been widely used for digital processing of satellite images and subsequent image filtering. This article provides a parallel version two-dimensional fast Fourier transform algorithm, analog of the Cooley-Tukey algorithm and its implementation for processing the satellite image of Krasnoyarsk and its suburban areas.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.