Target detection based on multiresolution fractal analysis

Dimitrios Charalampidis; Gregory W. Stein

doi:10.1117/12.720145

7 May 2007 Target detection based on multiresolution fractal analysis

Dimitrios Charalampidis, Gregory W. Stein

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65671B (2007) https://doi.org/10.1117/12.720145
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Dimitrios Charalampidis and Gregory W. Stein "Target detection based on multiresolution fractal analysis", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65671B (7 May 2007); https://doi.org/10.1117/12.720145

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