Dual-Polarization Ship Detection Algorithms


  1. Liu, C.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
This technical report presents a novel dual-polarization synthetic aperture radar (SAR) ship detection method that is a combination of the Likelihood Ratio Test (LRT) with K-distribution constant false alarm rate (KCFAR) detection. In this method, the decision variable is derived using the LRT from multi-look processed SAR data, with the individual looks being assumed to be independent. It is found that a good decision variable for such a dual-polarization system is the sum of the intensities of the polarization channels, each normalized by the corresponding average ocean intensities. This decision variable is referred to as the normalized intensity sum (NIS). The decision variable from ocean samples is then modeled with a K-distribution probability density function (PDF) to estimate the detection threshold for a user-defined probability of false alarm (pfa). In the actual SAR data, the individual looks are usually not independent and the equivalent number of independent looks (ENIL) is used in the derivation of the decision variable. However, the number of looks does not affect the form of the equation for the decision variable. The equivalent number of independent looks (L) and the order parameter (¦Í) define the shape of the K-distribution PDF. In this report, these parameters were estimated using the method of moments (MoM) on measured data. The results demonstrate that this method provides reliable K-distribution parameters L and ¦Í, if there is a sufficient number o

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ship detection;RADARSAT-2;AIS
Report Number
DRDC-RDDC-2015-R109 — Scientific Report
Date of publication
01 Nov 2015
Number of Pages
Electronic Document(PDF)

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