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Proceedings Paper

Target detection using an improved fractal scheme
Author(s): Gregory W. Stein; Dimitrios Charalampidis
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Paper Abstract

In this paper a target detection technique based on a rotational invariant wavelet-based scheme is presented. The technique is evaluated on SAR imaging and compared with a previous fractal-based technique, namely the extended fractal (EF) model. Both techniques attempt to exploit the textural characteristics of SAR imagery. Recently a wavelet/fractal feature set, similar to the proposed one, was compared with a feature set similar to EF for a general texture classification problem. The wavelet technique yielded lower classification error than EF, which motivated the comparison between the two techniques presented in this paper. Experimental results show that the proposed technique has the potential for providing lower false alarm rates compared to EF.

Paper Details

Date Published: 17 May 2006
PDF: 9 pages
Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370L (17 May 2006); doi: 10.1117/12.666598
Show Author Affiliations
Gregory W. Stein, Univ. of New Orleans (United States)
Dimitrios Charalampidis, Univ. of New Orleans (United States)


Published in SPIE Proceedings Vol. 6237:
Algorithms for Synthetic Aperture Radar Imagery XIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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