Firefly Algorithm With Disturbance-Factor-Based Particle Filter for Seismic Random Noise Attenuation

doi:10.1109/lgrs.2019.2943536

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	Firefly Algorithm With Disturbance-Factor-Based Particle Filter for Seismic Random Noise Attenuation
	X. Han,B. Wu and D. Wang
	2020
发表期刊	Ieee Geoscience and Remote Sensing Letters
ISSN	1545-598X
卷号	17 期号:7 页码:1268-1272
摘要	Particle filter (PF) has been proven to be an effective method for seismic random noise attenuation. However, the sample impoverishment caused by resampling is an inherent problem, resulting in serious loss of valid seismic information and poor estimation accuracy. To solve the problem and to further improve the particle quality, we propose the firefly algorithm with disturbance-factor-based PF (FA-PF). In this method, we introduce the strategy of FA to simulate the movement process of particles instead of the resampling and optimize the FA method. We optimize the FA from three aspects. First, we adopt the global optimal value to guide the particle brightness update, improving the ability of global optimization and decreasing the probability of the local optimum. Then, the attraction decreases as the number of iterations increases, reducing particle oscillation. Finally, we apply a disturbance factor in the location update period, increasing the proportion of meaningful particles and further optimizing the distribution of particles. The experimental results show that particle diversity is well-maintained and the particles can represent the valid signal more accurately, which indicates that the FA-PF method performs better in suppressing the random noise and preserving the valid signal than the PF.
DOI	10.1109/lgrs.2019.2943536
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收录类别	SCI ; EI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64530
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X. Han,B. Wu and D. Wang. Firefly Algorithm With Disturbance-Factor-Based Particle Filter for Seismic Random Noise Attenuation[J]. Ieee Geoscience and Remote Sensing Letters,2020,17(7):1268-1272.
APA	X. Han,B. Wu and D. Wang.(2020).Firefly Algorithm With Disturbance-Factor-Based Particle Filter for Seismic Random Noise Attenuation.Ieee Geoscience and Remote Sensing Letters,17(7),1268-1272.
MLA	X. Han,B. Wu and D. Wang."Firefly Algorithm With Disturbance-Factor-Based Particle Filter for Seismic Random Noise Attenuation".Ieee Geoscience and Remote Sensing Letters 17.7(2020):1268-1272.

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