Shake before use: artificial contrast generation for improved space imaging using neuromorphic event-based vision sensors

In this paper, we present a study into artificial contrast generation for neuromorphic event-based vision sensors as a novel approach to improve event-based space imaging and Space Domain Awareness. Event-based vision sensors are high-speed contrast-driven sensors that embrace the antithesis of conventional space imaging by exhibiting better detection and accuracy when tracking stability decreases. We demonstrate the performance of an artificial contrast generation system as a technique to improve the performance of an event-based space imaging system by introducing controlled motion into the incoming light path to artificially generate contrast and improve target signal. We show that artificial contrast generators can improve the target detection and the spatial resolving capabilities of an eventbased space imaging system. This work represents the latest approach in neuromorphic engineering to solve real-world problems using mechanisms such as saccadic eye motion found in biological sensing for ocular fixation. By improving the performance of event-based space imaging systems, this sensor’s unique capabilities can be further leveraged in SSA tasks to contribute to international SSA efforts and the development of novel space imaging techniques.