Remote Sensing for Maritime Prompt Monitoring
| Autor: | 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 |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Interface (computing) ship detection wake detection and analysis Real-time computing 0211 other engineering and technologies ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Ocean Engineering sea surveillance 02 engineering and technology law.invention lcsh:Oceanography Software lcsh:VM1-989 law Radar imaging Digital image processing 0202 electrical engineering electronic engineering information engineering lcsh:GC1-1581 Ship Route Prediction Radar webGIS interface image segmentation 021101 geological & geomatics engineering Water Science and Technology Civil and Structural Engineering ComputingMethodologies_COMPUTERGRAPHICS Data processing Maritime awareness system Sea surveillance SAR sensing Optical sensing Ship detection Image segmentation Image classification Wake detection and analysis business.industry lcsh:Naval architecture. Shipbuilding. Marine engineering Pipeline (software) Visualization optical sensing 020201 artificial intelligence & image processing maritime awareness system business image classification |
| Zdroj: | 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 |
| ISSN: | 2077-1312 |
| DOI: | 10.3390/jmse7070202 |
| Popis: | 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&rsquo 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&rsquo 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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