Moving Target Analysis in ISAR Image Sequences With a Multiframe Marked Point Process Model
In this paper, we propose a multiframe marked
point process model of line segments and point groups for
automatic target structure extraction and tracking in inverse
synthetic aperture radar (ISAR) image sequences. To deal with
scatterer scintillations and high speckle noise in the ISAR
frames, we obtain the resulting target sequence by an iterative
optimization process, which simultaneously considers the
observed image data and various prior geometric interaction
constraints between the target appearances in the consecutive
frames. A detailed quantitative evaluation is performed on eight
real ISAR image sequences of different carrier ships and airplane
targets, using a test database containing 545 manually annotated
frames.