Automated Threshold Selection for Template-Based Sonar Target Detection
Technical Report,01 Oct 2014,30 Sep 2015
NSWC PCD Panama City United States
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This technical report describes a constant false alarm rate CFAR detection algorithm along with a threshold selection algorithm derived for target detection in sonar imagery. It is designed for multi-frequency sonars and combines the advantages of template-based detection with environmental adaptation. This combination avoids the numerical estimates of a K-distribution based statistical test, while exploiting geometric features and frequency response differences between the local environment and man-made targets. The detection algorithm is based on our analysis of processed data and derived from a general statistical model. The utility of CFAR algorithms is that the selection of a detection threshold can be made independently of most image variations. However, to account for the widest variety we apply a local adaptive threshold selection mechanism and demonstrate its adaptability.
- Acoustic Detection and Detectors
- Target Direction, Range and Position Finding