Email this article Fractal Filters Intended for Signal Detection during Remote-Sensing Data Processing
- Authors: Bagmanov V.K.1, Potapov A.A.2,3, Sultanov A.K.1, Zang W.3
-
Affiliations:
- Ufa State Aviation Technical University
- Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences
- Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals, Jinan University
- Issue: Vol 63, No 10 (2018)
- Pages: 1163-1169
- Section: Statistical Radiophysics
- URL: https://journals.rcsi.science/1064-2269/article/view/199142
- DOI: https://doi.org/10.1134/S1064226918100030
- ID: 199142
Cite item
Open Access
Access granted
Subscription Access
Abstract
A new approach to processing and analysis of noisy data inherent to the optical systems of Earth remote sensing systems is proposed and investigated. This approach involves the system integration of several conceptual ideas based on the multiscale representation of fractal sets, recursive scans, and wavelet transforms, making it possible to improve the signal detection efficiency under complex background‒target conditions.
About the authors
V. Kh. Bagmanov
Ufa State Aviation Technical University
Author for correspondence.
Email: tks@ugatu.ac.ru
Russian Federation, Ufa, 450000
A. A. Potapov
Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences; Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals,Jinan University
Author for correspondence.
Email: potapov@cplire.ru
Russian Federation, Moscow, 125009; Guangzhou,, 510632
A. Kh. Sultanov
Ufa State Aviation Technical University
Author for correspondence.
Email: tks@ugatu.ac.ru
Russian Federation, Ufa, 450000
Wei Zang
Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals,Jinan University
Author for correspondence.
Email: niuwei377@qq.com
China, Guangzhou,, 510632
