Radiometry and the Transition of a Target from Unresolved to Resolved
Target detection is generally modelled as one of two cases. The first case is where the target is unresolved and the target detection probability is determined by the inverse range squared. The second case is where the target is fully resolved with its image comprising many pixels. As the target range changes, the image scale cancels the inverse square range variation, and the target detection probability becomes determined primarily through image quality factors. In this talk, we develop a unified target detection model that attempts to cover all target ranges. This is of practical importance for system performance modelling and simulation.
The talk begins by introducing the measurement science of radiometry and the key parameters used in the analysis of radiation transfer. We will attempt to avoid the mathematical excesses found in many reference publications and introduce the radiometric parameters through readily understandable examples. We will also stop short of covering topics such as specific detectivity, although if there is a craving for this, it can be provided through a future talk.
The topic of target detection is then introduced using the Signal to Noise Ratio (SNR), starting with an unresolved target, then progressively removing the constraints of angular position, image blur, and range. A combined SNR function is made possible by introducing a new parameter into the SNR equation, namely the Sampling Efficiency. In this analysis, it will be assumed that the target is seen against a uniform background. The impact of a variable background on the SNR will be discussed, and modifications made to the formula.
The duration of the talk will be approximately 120 minutes followed by questions and discussion.
Date and Time
Location
Hosts
Registration
- Date: 17 Apr 2024
- Time: 09:00 AM to 12:00 PM
- All times are (UTC+08:00) Perth
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- Billings Room
- The University of Western Australia
- Crawley, Western Australia
- Australia 6009
- Building: Electrical, Electronic and Computer Engineering Building
- Room Number: 303
- Contact Event Host
- Co-sponsored by ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS)
Speakers
Duncan Hickman of Tektonex Pty Ltd
Biography:
Duncan Hickman has over 35 years of research and development experience of some of the most advanced and high-performance imaging systems for defence, security, and commercial applications. His areas of expertise include sensor design, image and data fusion, image
processing, and the mathematical modelling of complex systems. Duncan is a Director of Tektonex Ltd (2012 – present), a company which provides infrared design and development services for international customers. Recent projects have included the development of a realtime image stabilisation and fusion system, the development of a multi-band polarimetric sensor, modelling and simulation of the imaging systems for autonomous applications, and the development of tri-band image fusion for a handheld camera system. Current research interests include the use of smart imaging on drones and airborne platforms for the monitoring of the health of vegetation, assessing water resources, and detecting the dumping of oil at sea. Prior to Tektonex, he was a Director and Chief Engineer for Waterfall Solutions Ltd (2005 – 2011) where he led the development of numerous imaging systems for surveillance applications ranging from underwater to satellite platforms. He also authored a guidebook for the UK Government on the specification and deployment of infrared cameras. Before joining Waterfall, Duncan held several senior design posts within BAE Systems, Thales, and Marconi where he worked on several major sensor development programmes for land, airborne, and maritime platforms. Duncan’s background is in Physics, and he completed his first degree at Manchester University and his Masters and Doctorate at Kings College. He has held academic posts at Oxford University and Surrey University and has published over 75 papers on imaging technology and applications. Duncan currently chairs several conferences for SPIE as well as giving training courses on Image Processing, and Modelling and Simulation. Duncan also provides mentoring to a number of small businesses and provides occasional presentations on different aspects of business operations.
Email:
Address:West Renfrew House, 26 Brougham Street, Greenock, United Kingdom, PA16 8AD