Cross-Spectral Imaging and Classification of Concealed Targets in Cluttered Environments


This project involves developing a software defined radar system to improve robotic perception in highly unstructured environments. Can multi-spectral techniques be used to iteratively resolve further into an obstructing material?


Dr David Johnson

Research Location

Aerospace, Mechanical and Mechatronic Engineering

Program Type



It is known that by operating over different regions of the EM spectrum we can leverage positive aspects available at each frequency. For example, at low frequencies signals can penetrate solid materials, whilst at high (optical) frequencies we can achieve good imaging resolution. A radar system that could operate like a software defined radio to adapt its waveform generation abilities over a wide frequency band to optimise image quality would be of great utility in many domains such as non-destructive testing, geo-physics, ground-penetrating/wall-penetrating radar.   The main research question to be answered in this project would be to determine whether multi-spectral techniques can be used to improve penetrative imaging capability by iteratively resolving layers of obstructing material that become translucent as frequency decreases.   This project would suit a graduate with a strong background or interest in physics and mechatronics.  

Additional Information

  • Use of research technique / methodology / technology
  • Potential topics of interest for the research opportunity
  • Current PHD and/or Masters topics
  • Eligibility criteria / candidate profile
  • Scholarship(s)  /  funding available

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software defined radar, multi-spectral imaging, robotic perception, rescue robotics.

Opportunity ID

The opportunity ID for this research opportunity is: 2104

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