Abstract

In this paper, a new paradigm for synthetic aperture radar (SAR) observation of ship targets at sea is presented. We firstly utilize the scattering similarity parameters to investigate the differences of scattering mechanism between ships and sea, based on which, a novel ship detection metric is proposed. Then the distribution function of the proposed metric is investigated and modeled by utilizing the method of kernel density estimation (KDE). Based on the statistical model, an automatic constant false alarm rate (CFAR) detection scheme is implemented. The proposed metric is compared with two classic polarimetric metrics, and the experimental results conducted on C-band RADARSAT-2 polarimetric SAR (Pol- SAR) data demonstrate the feasibility of the proposed metric and corresponding approach.

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