A cascaded coarse-to-fine convolutional neural network method for ship type identification
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI MARITIME UNIVERSITY
- Publication Date
- 2019-02-01
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
Description
Technical field
[0001] The invention relates to the technical field of maritime video monitoring, in particular to a cascaded coarse-to-fine convolutional neural network ship type identification method. Background technique
[0002] Currently, Vessel Traffic Service (VTS) and Automatic Identification System (AIS) are the main means to obtain ship type information. After the ship enters the VTS reporting line, the crew on board will report the ship’s basic information, such as port of destination, port of departure, and ship type, to the maritime regulatory authority via VHF telephone. In addition, the AIS system will periodically distribute its own ship’s static and dynamic information through broadcasting, including its ship’s type, position, call sign, ship name, gross tonnage, ship’s draft and speed, etc. However, AIS users need to manually enter static information such as ship type and ship call sign for the AIS system in advance. From the above analysis, it can be seen tha...