Automatic ship identification in ISAR image analysis with constrained mutual subspace method

摘要

This paper deals with automatic identification of ships in images produced by inverse synthetic aperture radar (ISAR). The ISAR technique reconstructs a rapidly updating sequence of range-Doppler image frames of the target Due to the physics of imaging based on the target's angular motions, however, images are invariably noisy and not all frames contain equally useful information. The thrust of this research is to cope with these issues by introducing (i) the multi-frame image processing to stably extract profiling as a basic feature reflecting the entire characteristics of a target, and (ii) the vector analysis for identification using the recently proposed Constrained Mutual Subspace Method (MSM). We will demonstrate the effective performance of the proposed scheme through experiments using simulated ISAR images.