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17 May 2006 Target detection using an improved fractal scheme
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregory W. Stein and Dimitrios Charalampidis "Target detection using an improved fractal scheme", Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370L (17 May 2006);

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