Towards jointly learned control policies and image recovery for distributed aperture telescopes

Justin Fletcher; Peter Sadowski

doi:10.1117/12.2618997

3 June 2022 Towards jointly learned control policies and image recovery for distributed aperture telescopes

Justin Fletcher, Peter Sadowski

Proceedings Volume 12121, Sensors and Systems for Space Applications XV; 1212108 (2022) https://doi.org/10.1117/12.2618997
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Extended object imaging of resident space objects is foundational to space domain awareness. Large aperture optical systems can capture spatially resolved imagery of objects in low Earth orbit but are infeasible for objects at higher altitudes. In this work we explore the application of distributed aperture optical systems to extended object imaging at distances beyond low Earth orbit using fully differentiable physical models. Distributed aperture systems are a cost-effective design for large aperture telescopes, but entail a sequential control problem to correct for aberrations induced by phase differences between the spatially distal subapertures. We provide a fully differentiable, joint formulation of this control problem and the associated image recovery task, and train a model to maximize reconstruction quality from an ensemble of focal plane images. We measure the quality of the recovered images, and position these results relative to the recovery quality achieved by monolithic telescopes.

Conference Presentation

Citation Download Citation

Justin Fletcher and Peter Sadowski "Towards jointly learned control policies and image recovery for distributed aperture telescopes", Proc. SPIE 12121, Sensors and Systems for Space Applications XV, 1212108 (3 June 2022); https://doi.org/10.1117/12.2618997

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