I. Introduction
There has been an exponential increase in aerial motion imagery due to advances in airborne sensor technologies, the increased adoption of manned and unmanned aerial vehicles (UAVs), and the emergence of new applications including aerial delivery, environmental monitoring, smart cities, search and rescue, disaster relief, and precision agriculture. Society is seeing a growing need for robust aerial imagery and video analytics capabilities to take full advantage of data fusion and to meet such application needs [1]. Novel methods, particularly those using artificial intelligence/machine learning (AI/ML), coupled with rapid advances in computational hardware (more powerful, lighter weight, lower energy, lower computing cost) are revolutionizing image processing, pattern recognition, and information fusion (e.g,, WAMI fusion applications [2]).