Abstract
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.
Highlights
Maritime traffic consists of more than 600,000 vessels navigating daily all over the world seas
A software platform dedicated to maritime traffic monitoring is presented
The main goal of this platform is to detect and identify target vessels within a given sea surface area, which is remotely supervised by orbiting satellites such as Sentinel 1/2, CosmoSky-Med and EROS missions
Summary
Maritime traffic consists of more than 600,000 vessels navigating daily all over the world seas. The main goal addressed in this paper concerns the description of a platform dedicated to sea surveillance, capable of detecting and identifying seagoing vessels This platform is in charge of collecting and integrating data made available by multi-source, multi-sensor satellite missions for specific maritime areas of interest. High-resolution data are provided by currently orbiting missions such as ESA (European Space Agency) Copernicus Sentinel, ISI-IMAGESAT EROS-B and ASI (Italian Space Agency) COSMO-SkyMed constellation These data are processed to detect and identify the ships located in the area of interest and to provide estimates of meaningful features, such as shape and kinematic parameters. The input radar and optical images are processed by a dedicated algorithm that attempts to discern between sea clutter, noise background and anomalous signals possibly revealing the presence of vessels The output of this procedure is a set of submaps, each cropped to only contain a single target.
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