Paper
24 August 2000 Statistical pose estimation of land targets in SAR
Jose C. Principe, Dongxin Xu, Andrew W. Learn, Qun Zhao
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose C. Principe, Dongxin Xu, Andrew W. Learn, and Qun Zhao "Statistical pose estimation of land targets in SAR", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396342
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Synthetic aperture radar

Statistical analysis

Associative arrays

Error analysis

Lithium

Particles

Automatic target recognition

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