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18 March 2013 Target detection in synthetic aperture radar imagery: a state-of-the-art survey
Khalid El-Darymli, Peter McGuire, Desmond Power, Cecilia R. Moloney
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Journal of Applied Remote Sensing, Vol. 7, Issue 1, 071598 (March 2013). https://doi.org/10.1117/1.JRS.7.071598
Abstract
Target detection is the front-end stage in any automatic target recognition system for synthetic aperture radar (SAR) imagery (SAR-ATR). The efficacy of the detector directly impacts the succeeding stages in the SAR-ATR processing chain. There are numerous methods reported in the literature for implementing the detector. We offer an umbrella under which the various research activities in the field are broadly probed and taxonomized. First, a taxonomy for the various detection methods is proposed. Second, the underlying assumptions for different implementation strategies are overviewed. Third, a tabular comparison between careful selections of representative examples is introduced. Finally, a novel discussion is presented, wherein the issues covered include suitability of SAR data models, understanding the multiplicative SAR data models, and two unique perspectives on constant false alarm rate (CFAR) detection: signal processing and pattern recognition. From a signal processing perspective, CFAR is shown to be a finite impulse response band-pass filter. From a statistical pattern recognition perspective, CFAR is shown to be a suboptimal one-class classifier: a Euclidian distance classifier and a quadratic discriminant with a missing term for one-parameter and two-parameter CFAR, respectively. We make a contribution toward enabling an objective design and implementation for target detection in SAR imagery.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Khalid El-Darymli, Peter McGuire, Desmond Power, and Cecilia R. Moloney "Target detection in synthetic aperture radar imagery: a state-of-the-art survey," Journal of Applied Remote Sensing 7(1), 071598 (18 March 2013). https://doi.org/10.1117/1.JRS.7.071598
Published: 18 March 2013
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Cited by 174 scholarly publications and 2 patents.
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KEYWORDS
Synthetic aperture radar
Target detection
Sensors
Data modeling
Image filtering
Image processing
Detection and tracking algorithms
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