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Image Processing

Synthetic aperture radar target detection using a neural network with fractal dimension

[+] Author Affiliations
Yu-Chang Tzeng

National United University, Department of Electronics Engineering, Maio-Li, Taiwan

Kun-Shan Chen

National Central University, Center for Space and Remote Sensing Research, Chung-Li, Taiwan

Opt. Eng. 45(7), 077002 (July 20, 2006). doi:10.1117/1.2227019
History: Received August 09, 2005; Revised December 11, 2005; Accepted December 13, 2005; Published July 20, 2006
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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.

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© 2006 Society of Photo-Optical Instrumentation Engineers

Citation

Yu-Chang Tzeng and Kun-Shan Chen
"Synthetic aperture radar target detection using a neural network with fractal dimension", Opt. Eng. 45(7), 077002 (July 20, 2006). ; http://dx.doi.org/10.1117/1.2227019


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