Low-altitude small target detection in sea clutter background based on improved CEEMDAN-IZOA-ELM
To effectively detect low-altitude small targets under complex sea surface environment, an innovative method has been developed. This method harnesses the chaotic characteristics of sea clutter and employs a combination of Adaptive Noise Complete Ensemble Empirical Modal Decomposition (CEEMDAN), Ada...
Main Authors: | Shang Shang, Jian Zhu, Qiang Liu, Yishan Shi, Tiezhu Qiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-02-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024025313 |
Similar Items
-
A novel rainfall prediction model based on CEEMDAN-PSO-ELM coupled model
by: Xianqi Zhang, et al.
Published: (2022-04-01) -
Runoff Prediction and Analysis Based on Improved CEEMDAN-OS-QR-ELM
by: Yang Liu, et al.
Published: (2021-01-01) -
Inner Dynamic Detection and Prediction of Water Quality Based on CEEMDAN and GA-SVM Models
by: Zhizhou Yang, et al.
Published: (2022-04-01) -
EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition
by: Emrah Dokur, et al.
Published: (2022-01-01) -
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
by: Zinnet Duygu Akşehir, et al.
Published: (2024-02-01)