Pose estimation in SAR using an information theoretic criterion

被引：27

作者：

Principe, JC ^{[1
]}

Xu, DX ^{[1
]}

Fisher, JW ^{[1
]}

机构：

[1] Univ Florida, Computat NeuroEngn Lab, Gainesville, FL 32611 USA

来源：

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY V | 1998年 / 3370卷

关键词：

D O I：

10.1117/12.321826

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：218 / 229

页数：12

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