Pose estimation in SAR using an information theoretic criterion

Jose C. Principe; Dongxin Xu; John W. Fisher III

doi:10.1117/12.321826

15 September 1998 Pose estimation in SAR using an information theoretic criterion

Jose C. Principe, Dongxin Xu, John W. Fisher III

Proceedings Volume 3370, Algorithms for Synthetic Aperture Radar Imagery V; (1998) https://doi.org/10.1117/12.321826
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

In this paper we formulate pose estimation statistically and show that pose can be estimated from a low dimensional feature space obtained by maximizing the mutual information between the aspect angle and the output of a nonlinear mapper. We use the Havrda-Charvat definition of entropy to implement a nonparametric estimator based on the Parzen window method. Results in the MSTAR data set are presented and show the performance of the methodology.

Citation Download Citation

Jose C. Principe, Dongxin Xu, and John W. Fisher III "Pose estimation in SAR using an information theoretic criterion", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); https://doi.org/10.1117/12.321826

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