Marine vessel detection comparing GPRS and satellite images for security applications

Amabdiyil, Sajan; Thomas, D. P.; Pillai, V. P. Mahadevan

doi:10.1109/wispnet.2016.7566303

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…More specifically, optical imagery is often affected by weather conditions and environmental effects, while SAR data have limited spatial resolution. Moreover, a common issue with satellite images are long periods between consecutive visits of the satellite to the target area, resulting in sparse data [45]. Nevertheless, both optical and SAR images can be greatly useful-complementing AIS data-while trying to detect vessels in an area of interest, especially when dealing with gaps in the respective ship trajectories.…”

Section: Satellite Imagesmentioning

confidence: 99%

The Big Picture: An Improved Method for Mapping Shipping Activities

Troupiotis-Kapeliaris,

Zissis,

Bereta

et al. 2023

Remote Sensing

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Density maps support a bird’s eye view of vessel traffic, through providing an overview of vessel behavior, either at a regional or global scale in a given timeframe. However, any inaccuracies in the underlying data, due to sensor noise or other factors, evidently lead to erroneous interpretations and misleading visualizations. In this work, we propose a novel algorithmic framework for generating highly accurate density maps of shipping activities, from incomplete data collected by the Automatic Identification System (AIS). The complete framework involves a number of computational steps for (1) cleaning and filtering AIS data, (2) improving the quality of the input dataset (through trajectory reconstruction and satellite image analysis) and (3) computing and visualizing the subsequent vessel traffic as density maps. The framework describes an end-to-end implementation pipeline for a real world system, capable of addressing several of the underlying issues of AIS datasets. Real-world data are used to demonstrate the effectiveness of our framework. These experiments show that our trajectory reconstruction method results in significant improvements up to 15% and 26% for temporal gaps of 3–6 and 6–24 h, respectively, in comparison to the baseline methodology. Additionally, a use case in European waters highlights our capability of detecting “dark vessels”, i.e., vessel positions not present in the AIS data.

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Section: Satellite Imagesmentioning

confidence: 99%

The Big Picture: An Improved Method for Mapping Shipping Activities

Troupiotis-Kapeliaris,

Zissis,

Bereta

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Thus, vessels from foreign parties are difficult to identify on behalf of law enforcement of maritime law between races [8][9][10][11]. Besides, the use of GIS is also very limited because the use of data from satellites is very expensive and also takes time to analyze for emergency purposes [12][13][14][15]. Furthermore, all of these existing systems are systems from foreign countries that require time for local individuals to understand the process of use and how to work effectively [17][18].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Controlling Marine Activity Using Iot System

Talib

Thanakodi

Noor

et al. 2021

MJCS

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Marine activities at sea are very popular with the people of the world. Various marine activities such as swimming, boating, fishing and even shipping are often done on the coast and sea. However, loose control and monitoring cause various problems such as accidents, marine life threats and even pollution. The current method uses a vessel monitoring system (VMS) as well as a geographic information system (GIS). This method of course uses high costs because the information obtained is international. There are also barriers to obtaining sensitive information. This makes it difficult for local authorities to obtain uniform information on centralized water activities. This study proposes a smart and centralized system of control and monitoring of water activities. The novelty of this study is to recognise and detect a foreign object on the surface of the sea. In addition, this study made a virtual barrier between safe and dangerous zone. This system can control all marine activities with the use of mobile equipment installed on the body of the user or even the vessel used. The system will control and monitor all activities centrally. In the event of an emergency or violation of the law, this system will deliver an immediate message to the authorities. The system is evaluated based on user distribution and control environment. System performance audit shows that this system method successfully controls and monitors water activity within 1 kilometre from the coast

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Real-time product quality control system using optimized Gabor filter bank

Öztürk

Akdemïr

2018

Int J Adv Manuf Technol

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Marine vessel detection comparing GPRS and satellite images for security applications

Cited by 7 publications

References 4 publications

The Big Picture: An Improved Method for Mapping Shipping Activities

The Big Picture: An Improved Method for Mapping Shipping Activities

Monitoring and Controlling Marine Activity Using Iot System

Real-time product quality control system using optimized Gabor filter bank

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