We propose a novel approach to active neuromorphic sensing to rapidly focus and artificially generate contrast to improve event-based space imaging. Space imaging is the collection of timely and accurate visual data of objects in the space environment and is essential for space-based operations and infrastructure. Recently, neuromorphic event-based vision sensors have been demonstrated as effective space imaging sensors with their high-speed contrast-driven operation. We demonstrate the performance of variable focus liquid lens driven artificial contrast generation as an active sensing technique. We demonstrate an improvement to the performance of an event-based space imaging system by cycling rapidly through an optical power range to incidentally pass through and detect an optimal focus range at each oscillation. We show that our approach can improve an event-based space imaging system's source detection, sensitivity, noise filtering, and localisation error. Furthermore, we demonstrate a solution to the critical problem of accurately and rapidly focusing the event-based camera for space imaging. By improving the performance of event-based space imaging systems, this sensor's unique capabilities can be further leveraged in critical space imaging applications such as international space traffic management efforts, and other optical domains as a new approach to difficult target detection problems.