<title>Statistical pose estimation of land targets in SAR</title>

Abstract

This paper explores statistical pose estimation in SAR ATR using a recently proposed training method based on information theory. The theory of training with information theoretic learning is briefly summarized. Different pose estimator topologies and training criteria are employed. Experimental results in the MSTAR I and II show that our proposed method is capable of producing 1-DOF and 2-DOF pose estimations and we show the dependence of the training parameters on performance.