Fractal Filters Intended for Signal Detection during Remote-Sensing Data Processing
- 作者: Bagmanov V.1, Potapov A.2,3, Sultanov A.1, Zang W.3
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隶属关系:
- 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
- 期: 卷 63, 编号 10 (2018)
- 页面: 1163-1169
- 栏目: Statistical Radiophysics
- URL: https://journals.rcsi.science/1064-2269/article/view/199142
- DOI: https://doi.org/10.1134/S1064226918100030
- ID: 199142
如何引用文章
详细
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.
作者简介
V. Bagmanov
Ufa State Aviation Technical University
编辑信件的主要联系方式.
Email: tks@ugatu.ac.ru
俄罗斯联邦, 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
编辑信件的主要联系方式.
Email: potapov@cplire.ru
俄罗斯联邦, Moscow, 125009; Guangzhou,, 510632
A. Sultanov
Ufa State Aviation Technical University
编辑信件的主要联系方式.
Email: tks@ugatu.ac.ru
俄罗斯联邦, Ufa, 450000
Wei Zang
Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals,Jinan University
编辑信件的主要联系方式.
Email: niuwei377@qq.com
中国, Guangzhou,, 510632