The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satellite-borne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.

Remote sensing for maritime monitoring and vessel prompt identification

Reggiannini M;Righi M;Tampucci M;Martinelli M;Salerno E
2019

Abstract

The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satellite-borne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.
2019
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
International Conference on Multimedia and Network Information System - MISSI 2018
833
343
352
9
978-3-319-98677-7
https://link.springer.com/chapter/10.1007%2F978-3-319-98678-4_35
Sì, ma tipo non specificato
11/9/2018.14/11/2018
Wroclaw, Poland
Maritime traffic monitoring
SAR sensing
Optical sensing
Sh
Image segmentation
Image classification
Wake detection and analysis
8
partially_open
Reggiannini, M; Righi, M; Tampucci, M; Bedini, L; Di Paola, C; Martinelli, M; Mercurio, C; Salerno, E
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/370829
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