An automatic ship classification system for ISAR imagery

摘要

The Navy has been interested in applying neural network processing architectures to automatically determine the naval class of ships from an Inverse Synthetic Aperture Radar (ISAR) on-board an airborne surveillance platform. Currently an operator identifies the target based on an ISAR display. The emergence of the littoral warfare scenario, coupled with the addition of multiple sensors on the platform, threatens to impair the ability of the operator to identify and track targets in a timely manner. Thus, on-board automation is quickly becoming a necessity.