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Proceedings Paper

Information divergence measure for ISAR image registration
Author(s): Yun He; A. Ben Hamza; A. Hamid Krim
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Paper Abstract

Entropy-based divergence measures have shown promising results in many areas of engineering and image processing. In this paper, a new generalized divergence measure, divergence, is proposed. Some properties such as convexity and its upper bound are derived. Based on the Jensen-Renyi divergence, we propose a new approach to the problem of ISAR (Inverse Synthetic Aperture Radar) image registration. The goal is to estimate the target motion during the imaging time. Our approach applies Jensen-Renyi divergence to measure the statistical dependence between consecutive ISAR image frames, which would be maximal if the images are geometrically aligned. Simulation results demonstrate that the proposed method is efficient and effective.

Paper Details

Date Published: 22 October 2001
PDF: 10 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445366
Show Author Affiliations
Yun He, North Carolina State Univ. (United States)
A. Ben Hamza, North Carolina State Univ. (United States)
A. Hamid Krim, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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