Remote sensing for maritime prompt monitoring

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.

Sea surveillance  Ship detection  maritime awareness system  Ocean Engineering  image classification  SAR sensing  wake detection and analysis  Optical sensing  sea surveillance  Wake detection and analysis  Image segmentation  Civil and Structural Engineering  Maritime awareness system  image segmentation  Water Science and Technology  webGIS interface  optical sensing  ship detection  Image classification  Ship Route Prediction 

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'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'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.

Source: Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202

Publisher: Molecular Diversity Preservation International, Basel

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