A new scattering similarity based metric for ship detection in Pol-SAR image | IEEE Conference Publication | IEEE Xplore

A new scattering similarity based metric for ship detection in Pol-SAR image


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 ...Show More
Notes: This article was mistakenly omitted from the original submission to IEEE Xplore. It is now included as part of the conference record.

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.
Notes: This article was mistakenly omitted from the original submission to IEEE Xplore. It is now included as part of the conference record.
Date of Conference: 22-27 July 2018
Date Added to IEEE Xplore: 24 February 2019
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ISSN Information:

Conference Location: Valencia, Spain

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