Characterizing the statistical properties of SAR clutter by using an empirical distribution

Abstract

The performances on the applications of synthetic aperture radar (SAR) data strongly depend on the statistical characteristics of the pixel amplitudes or intensities. In this paper, a new empirical model, called simply H G o, has been proposed to characterize the statistical properties of SAR clutter data over the wide range of homogeneous, heterogeneous, and extremely heterogeneous returns of terrain classes. A particular case of the H; G o distribution is the well-known G o distributions. We also derived analytically the estimators of the presented H; H o model by applying the "method of log cumulants" (MoLCs). The performance of the proposed model is verified by using some measured SAR images. © 2013 Gui Gao et al.