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

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.

• Publication year

  2018

• Venue

  IEEE International Geoscience and Remote Sensing Symposium

• Publication date

  2018-07-01

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/IGARSS.2018.8651433
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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