This project is pursuing significant improvements in the military utility of compact hyperspectral imaging sensors.
The types of compact hyperspectral sensors being developed and tested could potentially be deployed on either miniaturised satellites or one of the ADF’s current or future fleets of unmanned aerial vehicles.
Current systems and fielded technologies do not yet sufficiently meet a number of key requirements of the ADF. The most critical relate to the ability for off-nadir observation, enabling a broader and angular view of the terrain rather than being limited to direct lines of sight below the airborne platform. The capacity for real-time image and information processing is another important enhancement being pursued in this project, as is reducing the weight and size of the sensors to allow them to be deployed on a small platform.
The project includes both hardware and software development. The initial phase of the project is focusing on preparatory work in the development and testing of advanced prototype systems and data processing algorithms, exploiting artificial intelligence and deep learning frameworks. This is expected to progress the technology to TRL 5.
The project involves Australian SME HyVista in collaboration with the University of Technology Sydney, both of whom are new partners of DMTC, together with DST.