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A Ship Monitoring Framework Based on Multimodal Remote Sensing Data
Ist Teil von
Journal of physics. Conference series, 2023-05, Vol.2486 (1), p.12018
Ort / Verlag
Bristol: IOP Publishing
Erscheinungsjahr
2023
Link zum Volltext
Quelle
EZB-FREE-00999 freely available EZB journals
Beschreibungen/Notizen
Abstract
Due to the wide monitoring range, remote sensing satellites have more advantages than ground monitoring in large-scale monitoring. In particular, satellite network observations make rapid and frequent ground monitoring possible. In this paper, an all-day and all-weather marine ship monitoring framework based on multimodal remote sensing data was established. Scene recognition method was first used to segment sea areas. Then, we analyzed the ship characteristics of different data and used them for ship detection. Finally, the motion state of the ship was judged and the dynamic ships in the video were tracked. To prove the proposed framework, the data of Sentinel-1/2 and Jilin-1 data were used for verification. The experimental results demonstrated the advantages of the proposed framework for ship monitoring, which achieved the purpose of ship detection and tracking.