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Remote Sensing for Maritime Monitoring and Vessel Prompt Identification

Contributo in Atti di convegno
Data di Pubblicazione:
2018
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Maritime traffic monitoring; SAR sensing; Optical sensing; Sh; Image segmentation; Image classification; Wake detection and analysis
Elenco autori:
Bedini, Luigi; Martinelli, Massimo; Tampucci, Marco; Reggiannini, Marco; Righi, Marco; Salerno, Emanuele
Autori di Ateneo:
MARTINELLI MASSIMO
REGGIANNINI MARCO
RIGHI MARCO
TAMPUCCI MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/370829
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/370829/41649/prod_391506-doc_181228.pdf
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
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URL

https://link.springer.com/chapter/10.1007%2F978-3-319-98678-4_35
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