EPJ Web Conf.
Volume 224, 2019IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|Number of page(s)||4|
|Section||Machine Learning, Artificial Intelligence and High-Performance Computing|
|Published online||09 December 2019|
Application of Fractal Analysis Methods of Textures Earth Surface Images for Ecological Setting Assessment
Kotelnikov Institute of Radio engineering and Electronics, Russian Academy of Sciences, RU-125009, Moscow, Russia
2 E JNU-IREE Joint Laboratory of Fractal Method & Signal Processing, Department of Electronic Engineering, College of Information Science and Technology, JiNan University, Guangzhou, China
* e-mail: firstname.lastname@example.org
Published online: 9 December 2019
The use of fractal analysis methods for automatic textures earth surface image evaluation and ecological setting assessment has been proposed. Image processing techniques have been chosen for the following fractal analysis. The use of the Minkowski dimension to construct sheet dimension and histogram of fractal dimension has been suggested. Performance tests for the proposed methods and algorithms have been performed and analysed presented. Application of the fractal analysis methods is efficient in solving problems of monitoring objects clustering, assessing their conditions, identifying anomalies that have implications for the ecological setting, and evaluating the development of anomalous situations. The fractal analysis algorithms permit efficient processing of array information in the case, when they are implemented on modern computational hardware platforms.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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