Enviar artigo por via de e-mail Fractal Filters Intended for Signal Detection during Remote-Sensing Data Processing
- Autores: Bagmanov V.1, Potapov A.2,3, Sultanov A.1, Zang W.3
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Afiliações:
- 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
- Edição: Volume 63, Nº 10 (2018)
- Páginas: 1163-1169
- Seção: Statistical Radiophysics
- URL: https://journals.rcsi.science/1064-2269/article/view/199142
- DOI: https://doi.org/10.1134/S1064226918100030
- ID: 199142
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Resumo
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.
Sobre autores
V. Bagmanov
Ufa State Aviation Technical University
Autor responsável pela correspondência
Email: tks@ugatu.ac.ru
Rússia, Ufa, 450000
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
Autor responsável pela correspondência
Email: potapov@cplire.ru
Rússia, Moscow, 125009; Guangzhou,, 510632
A. Sultanov
Ufa State Aviation Technical University
Autor responsável pela correspondência
Email: tks@ugatu.ac.ru
Rússia, Ufa, 450000
Wei Zang
Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals,Jinan University
Autor responsável pela correspondência
Email: niuwei377@qq.com
República Popular da China, Guangzhou,, 510632
