A SURVEY ON ISAR AUTOFOCUSING TECHNIQUES (MA-S1)

Author(s) : Fabrizio Berizzi (Dept. of Information Engineering, Italy) Marco Martorella (Dept. of Information Engineering, Italy) Brett Haywood (Defence Science & Technology Organization (DSTO), Australia) Enzo Dalle Mese (Dept. of Information Engineering, Italy) Silvia Bruscoli (Dept. of Information Engineering, Italy)

Abstract : In many years of research several ISAR autofocusing techniques have been proposed. Today, we can divide them into two main categories: parametric and non-parametric techniques. The Prominent Point Processing and the Phase Gradient Algorithm are two classical examples of non-parametric techniques, whereas the more recent Image Contrast and Entropy based techniques represent a new generation of parametric techniques. In this paper the advantages and disadvantages of each technique will be highlighted and a performance analysis will be carried out by means of ISAR image reconstruction of real data.

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