Proceedings PaperEffect Of Data Reduction On Target Classification From Inverse Synthetic Aperture Radar (ISAR) Images
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This paper is a preliminary report on investigations into the effects of data reduction on ISAR image quality and classifier performance. The case considered here is the effect of decimating the ISAR radar returns. Decimation of the type described induces image aliasing because of the signal processing involved in ISAR image formation. This familiar effect is used to model the degradation of object boundaries, which are used in classification.