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Open AccessFeature PaperArticle

Remote Sensing for Maritime Prompt Monitoring

1
Institute of Information Science and Technologies, National Research Council of Italy, 56124 Pisa, Italy
2
Institute of Informatics and Telematics, National Research Council of Italy, 56124 Pisa, Italy
3
Mapsat S.R.L., 82100 Benevento, Italy
4
SisTer S.R.L., 56021 Pisa, Italy
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2019, 7(7), 202; https://doi.org/10.3390/jmse7070202
Received: 28 May 2019 / Revised: 25 June 2019 / Accepted: 26 June 2019 / Published: 28 June 2019
(This article belongs to the Special Issue Ocean Big Data Application - Engineering)
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Abstract

The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel’s most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel’s forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities. View Full-Text
Keywords: maritime awareness system; sea surveillance; SAR sensing; optical sensing; ship detection; image segmentation; image classification; wake detection and analysis; Ship Route Prediction; webGIS interface maritime awareness system; sea surveillance; SAR sensing; optical sensing; ship detection; image segmentation; image classification; wake detection and analysis; Ship Route Prediction; webGIS interface
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Reggiannini, M.; Righi, M.; Tampucci, M.; Lo Duca, A.; Bacciu, C.; Bedini, L.; D’Errico, A.; Di Paola, C.; Marchetti, A.; Martinelli, M.; Mercurio, C.; Salerno, E.; Zizi, B. Remote Sensing for Maritime Prompt Monitoring. J. Mar. Sci. Eng. 2019, 7, 202.

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