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Remote Sensing for Maritime Prompt Monitoring

Authors :
Costanzo Mercurio
Marco Tampucci
Angelica Lo Duca
Marco Reggiannini
Marco Righi
Bruno Zizi
Luigi Bedini
Andrea D’Errico
Claudio Di Paola
Emanuele Salerno
Andrea Marchetti
Clara Bacciu
Massimo Martinelli
Source :
Journal of Marine Science and Engineering, Volume 7, Issue 7, Journal of Marine Science and Engineering, Vol 7, Iss 7, p 202 (2019), Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202, info:cnr-pdr/source/autori: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./titolo:Remote sensing for maritime prompt monitoring/doi:10.3390%2Fjmse7070202/rivista:Journal of marine science and engineering/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:7
Publication Year :
2019
Publisher :
Multidisciplinary Digital Publishing Institute, 2019.

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<br />(ii) the estimation of each vessel&rsquo<br />s most descriptive geometrical and scatterometric (for radar images) features<br />(iii) the estimation of the kinematics of each vessel<br />(iv) the prediction of each vessel&rsquo<br />s forthcoming route<br />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.

Details

Language :
English
ISSN :
20771312
Database :
OpenAIRE
Journal :
Journal of Marine Science and Engineering
Accession number :
edsair.doi.dedup.....73d5104a44c80e2aad4a6b70dee1ed1a
Full Text :
https://doi.org/10.3390/jmse7070202