Abstract
In this paper we examine the way in which a correlated K-distributed clutter model may be applied in the study of coherent-imaging systems. The theoretical background behind the model is discussed and various different correlated gamma-distributed surface models are analysed. The K-distributed clutter properties consequent on coherent imaging of such surfaces are next derived and their dependence on the imaging response function demonstrated. The theoretical results for a double coherence length surface model are then compared with overland images obtained with the RSRE X -band synthetic-aperture radar (SAR) processor. It is demonstrated that the model provides a reasonable representation of the dependence of the real image on the system resolution. The significance of such correlated K-distribution models on the understanding and prediction of clutter statistics is discussed and the direction for future research indicated.

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