Autor: |
Myeong-Hun Jeong, Seung-Bae Jeon, Tae-Young Lee, Min Kyo Youm, Dong-Ha Lee |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
Applied Sciences, Vol 10, Iss 3, p 881 (2020) |
Druh dokumentu: |
article |
ISSN: |
2076-3417 |
DOI: |
10.3390/app10030881 |
Popis: |
This study provides an automatic shipping-route construction method using functional data analysis (FDA), which analyzes information about curves, such as multiple data points over time. The proposed approach includes two steps: outlier detection and shipping-route construction. This study uses automatic-identification system (AIS) data for the experiments. The effectiveness of the proposed method is demonstrated through case studies, wherein our approach is compared with the Mahalanobis distance method for trajectory-outlier detection, and the performance of vessel trajectory reconstruction is compared with that of a density-based approach. The proposed method improves understanding of vessel-movement dynamics, thereby improving maritime monitoring and security. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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