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Vessel Detection and Automatic Identification System

Authors: Malika Pagare; Hemlata Ahire; Akshada Shitole;

Vessel Detection and Automatic Identification System

Abstract

The Automatic Identification System (AIS) provides abundant near real-time information of moving vessels i.e. ships, submarines etc. in the sea of the whole world and has been widely used in the fields of vessel collision avoidance, and motion prediction Maritime Situation Awareness (MSA) and ocean surveillance. Also the development of satellite based AIS is used which ultimately will help to expand the range of AIS. This will converge the data collection, which solves the problem of lacking AIS data in high-seas. At the same time, AIS provides a huge source for data mining for maritime traffic analysis. For this data mining the clustering algorithm called K-means is applied to deal with AIS.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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