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Advanced Maritime Targets Recognition from SAR images exploiting target’s micro motions and AI

Department of Electronic and Electrical Engineering

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Dr Carmine Clemente Applications accepted all year round Funded PhD Project (European/UK Students Only)

About the Project

Applications are invited for a PhD studentship for which funding decision is pending.
The project would be funded by the European Space Agency and an industrial partner, the academic team include academics from the University of Strathclyde, Giustino Fortunato University, Niccolo’ Cusano University and the University of L’Aquila.

This PhD project is aimed at developing a framework for automatic recognition of maritime targets from Synthetic Aperture Radar (SAR) images. SAR is a powerful sensor able to provide information in any light condition and independent on cloud coverage. This allows SAR images to be acquired anytime and from anywhere using a space borne platform to carry a sensor. Furthermore, the peculiar acquisition mode allows for target motion estimation and characterization. This aspect becomes even more interesting when dealing with targets exhibiting micro-motions, as these can be used to characterize them, such as different human gait characteristics, helicopter’s models or miniature UAVs. Of particular interest are the micro-motions induced by moving parts on board of maritime targets. These can be actual moving components on board of a vessel (i.e., rotating antenna), micro-motion induced by engine (vibration) or rocking due to the sea state. The presence of micro-motions has effects on the final SAR image that can be exploited to extract useful information about the target, such as the position and characteristics of a rotating antenna or the engine position and vibrating field induced. The aim of the project is to model these aspects and their effects on the images, to develop a framework able to detect and extract micro-motion characteristics that will be then integrated into an Artificial Intelligence Framework for maritime target recognition. Applications of this technology include: 1) Anti-piracy, allowing enhanced target recognition of seized ships with spoofed AIS; 2) Fishing, allowing monitoring of fishing vessels in order to prevent overfishing; 3) Illegal immigration, recognizing vessels trafficking humans (that are often without AIS) and that have limited capabilities (preventing losses of life in open sea). Validation of the algorithms will be performed on real SAR data in C (Sentinel 1) and X (Cosmo-Skymed) bands.

The successful candidate will: 1) Develop novel target signal models for the maritime targets imaged from a SAR sensor 2) Develop algorithms for the extraction of micro-motion information from SAR images 3) Develop an Artificial intelligence framework to recognize automatically maritime targets 4) Spend a secondment period at the Centre for Earth Observation- ESRIN of the European Space Agency (ESA) 5) Engage with ESA and the industrial partners of the project.

This is a unique opportunity to work at the Sensor Signal Processing & Security Laboratories (SSP&S labs) of the Centre of Excellence in Signal and Image Processing of the University of Strathclyde and to collaborate with an international team of academics, ESA and industry. SSP&S labs are located in the new Technology and Innovation Centre (TIC) of the University of Strathclyde, a stimulating cross-disciplinary environment where the core of the industrial research of Strathclyde is developed.

For enquiries contact Dr Carmine Clemente ([Email Address Removed])

Funding Notes

This project would support European students only.
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