ISAR image sequence based Automatic Target Recognition by using a Multi-Frame Marked Point Process model

In this paper we propose a Multi-frame Marked Point Process model for automatic target detection and tracking in Inverse Synthetic Aperture Radar (ISAR) image sequences. For purposes of dealing with high ISAR noise, we obtain the optimal target sequence by an energy minimization process, which simultaneously considers the observed image data and prior geometric interaction constraints between the target appearances in the consecutive frames. Finally, a robust permanent scatterer detection step is introduced to support the target identification process. Evaluation is performed on real ISAR image sequences of ship targets.