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Optical Engineering

Synthetic aperture radar target detection using a neural network with fractal dimension
Author(s): Yu-Chang Tzeng; Kun-Shan Chen
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Paper Abstract

The fractal dimension is used in conjunction with a neural network to quantify effects of the chaotic behavior of radar clutter on the geometric aspects of target detection by synthetic aperture radar. To demonstrate the effectiveness of the proposed method, results are compared with those of the conventional constant-false-alarm-rate algorithm and the neural network technique. It is shown that the use of the fractal dimension substantially improves the detection performance based on some figures of merit, including detection rate, false-detection rate, and loss detection rate.

Paper Details

Date Published: 1 July 2006
PDF: 6 pages
Opt. Eng. 45(7) 077002 doi: 10.1117/1.2227019
Published in: Optical Engineering Volume 45, Issue 7
Show Author Affiliations
Yu-Chang Tzeng, National United Univ. (Taiwan)
Kun-Shan Chen, National Central Univ. (Taiwan)


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