Automatic Identification of Satellite Features from Inverse Synthetic Aperture Radar (ISAR) Images
Andrew Begg, Eric Rogers, Bing Chu, Xiaohao Cai · 2024
Inverse Synthetic Aperture Radar (ISAR) images are a popular and effective tool used in the modern age to identify moving targets, particularly in the airborne and space arenas. Much research has been undertaken on the automatic recognition of targets in this area, applying computer vision algorithms to the two dimensional image maps produced when measuring targets via this method. In this document we discuss an on-going programme of work to fully automate space target recognition, and specifically here outline a methodology proposed for automating the identification of specific features of space targets, in order to aid the confidence of an operator making the final decisions. Large scale results are still currently being collected for the project.