2019
Conference article  Open Access

Towards a behavior analysis of remote-sensed vessels

Reggiannini M., Salerno E., Martinelli M., Righi M., Tampucci M., Bedini L.

Image segmentation  Sea surveillance  Maritime awareness system  SAR sensing  Optical sensing  Image classification  Wake detection and analysis 

This paper analyzes the potentialities to classify vessels detected through optical and synthetic-aperture radar (SAR) satellite-borne platforms and estimate their motion. For classification, the discriminative power of a set of geometric features extracted from segmented remote-sensed images is valuated by clustering data derived from a set of accurate footprints belonging to either tanker or cargo ships. The same procedure is repeated on a few dozens of real, remote-sensed optical images. Concerning velocity estimation, which in this context is based on the detection and analysis of the wake pattern generated by the ship motion, a discussion concerning the accuracy of the wake detection task is presented. In particular, since wake patterns are usually hard to detect, a method is proposed to enhance the wake signal-to-noise ratio, based on a dedicated pre-filtering stage. Results returned by the proposed method are compared with those obtained adopting a standard literature approach, eventually observing that the introduction of the prefiltering stage improves the wake detection accuracy. A maritime surveillance system based on a pipeline of the modules described here represents a useful tool to support the authorities in charge of monitoring maritime traffic with safety, security and law enforcement purposes.

Source: 15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:411294,
	title = {Towards a behavior analysis of remote-sensed vessels},
	author = {Reggiannini M. and Salerno E. and Martinelli M. and Righi M. and Tampucci M. and Bedini L.},
	doi = {10.1109/sitis.2019.00100},
	booktitle = {15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019},
	year = {2019}
}