Project Leader: Mark Ramsey, SITAEL Australia
Participants: SITAEL Australia, The University of Adelaide (UoA)
Infrared (IR) imagery and analytics are an emerging field in many Defence and Civilian applications globally, including several relevant to Australia such as fire monitoring, water monitoring, defence tracking and agriculture. However, IR sensor technology for spacecraft remains large and expensive, and resolution remains poor when compared to visual counterparts, constraining the usefulness of such data and restricting its wide adoption. An operational limitation of most IR systems is the need for wide field of view (WFOV) ‘hot spot’ detection, followed by recognition or identification which requires more pixels on target for any level of discrimination. It is this limitation that our project will address, opening the range of possibilities and scope for IR sensing from satellites and at a new price point, utilising lower-cost COTS, fixed FOV sensors to achieve the effect of a more expensive single imager. The goal of such technology is to move toward Problem-centric Operations, a long-term goal of the SmartSat CRC Earth Observation roadmap. The aim is to develop an adaptive view IR imager, by using a multi-aperture array of low-cost imagers, combined with intelligent processing and control system to switch between modes.