Automatic classification of targets in high resolution radar imagery

Automatic classification of targets in high resolution radar imagery

Programs Available

PhD 

Reference Number

20192655 

Opening Date

15 Sep 2019 12am AEST 

Closing Date

20 Dec 2019 11pm AEDT 

Scholarship available to

Domestic 

Description

ISAR (Inverse Synthetic Aperture Radar) obtains images of targets from radar, utilising the movement of the target to create the synthetic aperture. This project will focus on ISAR images of sea vessels with the goal of recognising specific targets by their ISAR signatures using machine learning - especially "deep learning". The available data is limited, so techniques for learning from low data volumes and synthetic data generation are likely to be relevant. Radar signatures vary for the same vessel depending on direction of travel and also on wave conditions, so the machine learning solution needs to generalise across these sources of variation. The problem is known to be challenging and has, to date, mostly been addressed through traditional manually designed feature classification methods. Deep learning and related methods offer the potential to automatically extract appropriate features for classification.

Availability

This scholarship is available only to Australian citizens

Scholarship Components

The scholarship is comprised of a Living Allowance Stipend. The value and tenure of the scholarship is a full-time stipend rate of $40,000 per annum (in 2019 tax exempt for up to 3.5 years), plus travel allowance.

Contact Details

Name: Dr Leonard Hamey
Email: len.hamey@mq.edu.au
Phone: 02 9850 9527

How to Apply

For information on how to apply, select the "How to Apply" button below.

Please note, at the start of your application you should select the scholarship type of "HDR Project/Supervisor Specific Scholarship"

Back to the top of this page