EFE-LSTM: A Feature Extension, Fusion and Extraction Approach Using Long Short-Term Memory for Navigation Aids State Recognition

EFE-LSTM: A Feature Extension, Fusion and Extraction Approach Using Long Short-Term Memory for Navigation Aids State Recognition

Navigation aids play a crucial role in guiding ship navigation and marking safe water areas. Therefore, ensuring the accurate and efficient recognition of a navigation aid’s state is critical for maritime safety. To address the issue of sparse features in navigation aid data, this paper proposes an...

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Bibliographic Details
Main Authors: Jingjing Cao, Zhipeng Wen, Liang Huang, Jinshan Dai, Hu Qin
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
navigation aids
state recognition
extended space
multi-domain features
hidden feature extraction
maritime safety
Online Access:https://www.mdpi.com/2227-7390/12/7/1048

Internet

https://www.mdpi.com/2227-7390/12/7/1048

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