Paper
5 May 2014 Performance evaluation of optimal filters for target detection using SAR imagery
Author Affiliations +
Abstract
Various matched filter based architectures have been proposed over the last two decades to optimize the target detection and recognition performance. While these techniques provide excellent performance with respect to one or more parameters, a unified and synergistic approach to evaluate the performance of these techniques under the same constraints is yet to be done. Consequently, in this paper, we used a set of generalized performance metrics for comparing the performance of the recently reported matched filter based techniques using various types of infrared and SAR datasets. Test results obtained using the aforementioned datasets and performance metrics provide excellent information with respect to the suitability of existing filter based techniques for various target detection and tracking practical applications.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohammad S. Alam, Jed Khoury, Partha P. Banerjee, William M. Durant, Daniel M. Martin, and Georges T. Nehmetallah "Performance evaluation of optimal filters for target detection using SAR imagery", Proc. SPIE 9094, Optical Pattern Recognition XXV, 90940C (5 May 2014); https://doi.org/10.1117/12.2054358
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KEYWORDS
Phase only filters

Image filtering

Synthetic aperture radar

Microsoft Foundation Class Library

Image enhancement

Target detection

Fourier transforms

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