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Proceedings Paper

Application of point enhancement technique for ship target recognition by HRR
Author(s): Nilufen Cotuk; Sedat Ture; Mujdat Cetin
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Paper Abstract

We present an evaluation of the impact of a recently developed point-enhanced high range-resolution (HRR) radar profile reconstruction method on automatic target recognition (ATR) performance. We use several pattern recognition techniques to compare the performance of point-enhanced HRR profiles with conventional Fourier transform-based profiles. We use measured radar data of civilian ships and produce range profiles from such data. We use two types of classifiers to quantify recognition performance. The first type of classifier is based on the nearest neighbor technique. We demonstrate the performance of this classifier using a variety of extracted features, and a number of different distance metrics. The second classifier we use for target recognition involves position specific matrices, which have previously been used in gene sequencing. We compare the classification performance of point-enhanced HRR profiles with conventional profiles, and observe that point enhancement results in higher recognition rates in general.

Paper Details

Date Published: 12 September 2003
PDF: 9 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.487930
Show Author Affiliations
Nilufen Cotuk, Turkish Navy (Turkey)
Sedat Ture, Turkish Navy (Turkey)
Mujdat Cetin, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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