PhD Study : Cross-view geo-localisation for UAV applications

Apply and key information  

Summary

Cross-view geo-localisation is the task of matching the same geographic target using images obtained from different platforms, such as ground view, drones, aerial imaging and satellites. However, the view angle of images obtained through different platforms can vary greatly, which can present significant research challenges for cross-view geo-localisation tasks.

Early approaches to cross-view geo-localisation tasks focused on matching ground-view images with satellite-view images. However, typically the viewpoints and the imaging methods across these platforms are very different, the ground view is almost perpendicular to the horizon, but the satellite view is almost parallel to the horizon; this can present significant challenges for combining these data.

In recent years, the application scenarios of cross-view geo-localisation have expanded with the development of availability of low-cost UAV technology and increased availability of satellite image data. Cross-view localisation has now been widely applied in many fields, such as event detection, accurate localisation, agriculture and UAV navigation.

This project will focus on addressing fundamental challenges such as differing image projections, changing view angles, feature scale differences and differing image modalities with the aim of advancing cross-view geo-localisation UAV applications.

Please note that a research proposal is NOT required for this project.

Essential criteria

Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

  • Experience using research methods or other approaches relevant to the subject domain
  • A comprehensive and articulate personal statement
  • A demonstrable interest in the research area associated with the studentship

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%
  • For VCRS Awards, Masters at 75%
  • Experience using research methods or other approaches relevant to the subject domain
  • Work experience relevant to the proposed project
  • Publications - peer-reviewed
  • Experience of presentation of research findings

Funding and eligibility

The University offers the following levels of support:

Vice Chancellors Research Studentship (VCRS)

The following scholarship options are available to applicants worldwide:

  • Full Award: (full-time tuition fees + £19,000 (tbc))
  • Part Award: (full-time tuition fees + £9,500)
  • Fees Only Award: (full-time tuition fees)

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.

Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Please note: you will automatically be entered into the competition for the Full Award, unless you state otherwise in your application.

Department for the Economy (DFE)

The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).

This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

  • Candidates with pre-settled or settled status under the EU Settlement Scheme, who also satisfy a three year residency requirement in the UK prior to the start of the course for which a Studentship is held MAY receive a Studentship covering fees and maintenance.
  • Republic of Ireland (ROI) nationals who satisfy three years’ residency in the UK prior to the start of the course MAY receive a Studentship covering fees and maintenance (ROI nationals don’t need to have pre-settled or settled status under the EU Settlement Scheme to qualify).
  • Other non-ROI EU applicants are ‘International’ are not eligible for this source of funding.
  • Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.

Due consideration should be given to financing your studies. Further information on cost of living

Recommended reading

[1] Toker, Aysim, et al. "Coming down to earth: Satellite-to-street view synthesis for geo-localization." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

[2] Wang, Tingyu, et al. "Each part matters: Local patterns facilitate cross-view geo-localization." IEEE Transactions on Circuits and Systems for Video Technology 32.2 (2021): 867-879.

[3] Zhu, Sijie, Mubarak Shah, and Chen Chen. "Transgeo: Transformer is all you need for cross-view image geo-localization." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.

The Doctoral College at Ulster University

Key dates

Submission deadline
Monday 26 February 2024
04:00PM

Interview Date
25 April 2024

Preferred student start date
16 September 2024

Applying

Apply Online  

Contact supervisor

Professor Sonya Coleman

Other supervisors