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PhD Studentship:Optimization of data fusion of SAR and AIS datasets from NovaSAR-S

Department of Electrical & Electronic Engineering

Location:  Guildford
Post Type:  Full Time
Advert Placed:  Thursday 09 March 2017
Closing Date:  Friday 02 June 2017
Reference:  019417

PhD Project


Optimization of data fusion of SAR and AIS datasets from NovaSAR-S


Lead Supervisor: Dr. Raffaella Guida, University of Surrey, Department of Electronic Engineering, Surrey Space Centre

Email: r.guida@surrey.ac.uk

Co-supervisors: Dr Pasquale Iervolino, University of Surrey; Dr Philip Whittaker, SSTL


Project description

The data fusion of Earth Observation (EO) satellite data is gaining momentum but fusion processing techniques are still far from being optimized. This is in part due to the intrinsic complex and diverse nature of the different EO datasets and the obvious temporal gap occurring between the corresponding acquisitions which often invalidate the attempt of fusion for specific applications in which parameters to be monitored are highly sensitive to and fast variable with time.

In some specific applications, such as those in the maritime surveillance, and for specific datasets, such as the SAR and AIS datasets from NovaSAR-S, these problems are mitigated. Having the NovaSAR-S platform both payloads on board, a very close acquisition, even if not synchronous, of the two systems is possible.

This PhD will investigate, in the post-commissioning phase of NovaSAR-S, the best techniques of fusion for non synchronous, but relatively close in time acquisitions, SAR and AIS datasets from NovaSAR-S. It will design, implement and validate on real datasets an ad-hoc fusion technique able to generate value-added product for a new market of SAR and AIS data in the field of maritime surveillance.

Training opportunities:

This project will present the exciting opportunity of a placement in Surrey Satellite Technology Limited (SSTL), the world's leading small satellite company with an innovative approach to space engineering, during the phase of NovaSAR launch, commissioning and demonstration.

Student profile:

This project would be suitable for a EU/UK student with a first class degree in remote sensing and Earth Observation, engineering, physics, mathematics or a closely related environmental or physical science.

Funding particulars:

This project is funded with a studentship in collaboration with SSTL.   The funding is available for three (3) years coming from joint funding of Surrey Satellite Technology Limited (SSTL) and University of Surrey, Surrey Space Centre.  The amount of £18,491 for bursary (£14,296) and fees (£4,195) is available for the first year and will be increased every year to cover the cost of both fees and bursary up to three years.


How to apply


We wish to start this PhD project as soon as possible, ideally on 1st July 2017. However, a selection of excellent candidates is fundamental to us and a different starting date could be agreed if necessary.


  1. Apply to study on the PhD programme at http://www.surrey.ac.uk/postgraduate/electronic-engineering-phd
  2. In the application form, clearly state you are applying for the PhD scholarship funded by SSTL and supervised by Dr. Raffaella Guida.
  3. All applications must be submitted by the 2nd June 2017.
  4. Interviews will be during June and the start date is 1st July 2017.
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