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Proceedings Paper

Target detection based on multiresolution fractal analysis
Author(s): Dimitrios Charalampidis; Gregory W. Stein
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Paper Abstract

SAR imaging has been extensively used in several applications including automatic target detection and recognition. In this paper, a wavelet/fractal (WF)-based target detection technique is presented. The technique computes a fractal-based feature on an edge image, as opposed to existing fractal methods that compute the fractal dimension on the original image. The edge image is produced through the use of wavelets. The technique is evaluated for target detection in SAR images, and compared with a previous fractal-based approach, namely the extended fractal (EF) model. Experimental results illustrate that WF provides lower false alarm rates for the same probability of detection compared to EF. Furthermore, it is shown that WF provides higher spatial resolution capabilities for the detection of closely located targets.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671B (7 May 2007); doi: 10.1117/12.720145
Show Author Affiliations
Dimitrios Charalampidis, Univ. of New Orleans (United States)
Gregory W. Stein, Univ. of New Orleans (United States)


Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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