Orbital debris poses an increasing risk to manned space missions and operational satellites. As larger networks of electro-optical (EO) sensors are tasked for space surveillance in order to improve spatiotemporal knowledge of the ever-growing resident space object (RSO) population, it is imperative that survey designs be autonomously generated such that they optimally balance the visibility, coverage, and estimation accuracy of RSOs as per the survey objective. To this end, we propose a framework to quantitatively evaluate designs of EO RSO surveys. Where appropriate, we inherit existing language and conventions regarding EO sensor and survey design.
These functions exhibit good linearity for the domain of angle and angle-rate measurements that are usually captured in a single image, so a rapid linear evaluation is locally feasible. Initial simulated results comparing the visibility and coverage of two survey designs in the near geostationary orbit regime aligned with observer expectations.