Document - Remote Sensing for Maritime Monitoring and Vessel Prompt Identification

2018

Conference article Open Access

Remote Sensing for Maritime Monitoring and Vessel Prompt Identification

Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.

Image segmentation Ship detection Maritime traffic monitoring SAR sensing Optical sensing Image classification Wake detection and analysis

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.

Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 343–352, Wroclaw, Poland, 11/9/2018.14/11/2018

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@inproceedings{oai:it.cnr:prodotti:391506,
	title = {Remote Sensing for Maritime Monitoring and Vessel Prompt Identification},
	author = {Reggiannini M. and Righi M. and Tampucci M. and Bedini L. and Di Paola C. and Martinelli M. and Mercurio C. and Salerno E.},
	doi = {10.1007/978-3-319-98678-4_35},
	booktitle = {International Conference on Multimedia and Network Information System - MISSI 2018, pp. 343–352, Wroclaw, Poland, 11/9/2018.14/11/2018},
	year = {2018}
}