• A comparative study of sea clutter covariance matrix estimators 

      Ding, Tao; Anfinsen, Stian Normann; Brekke, Camilla (Journal article; Tidsskriftartikkel; Peer reviewed, 2013-10-23)
      Estimation of the polarimetric covariance matrix is an important task in statistical modeling of sea clutter for maritime applications of polarimetric synthetic aperture radar (PolSAR) data. This work provides a comprehensive study of four covariance matrix estimators: the maximum likelihood estimators under the Gaussian distribution (G-ML) and the K distribution (K-ML), an approximation of the ...
    • A Segmentation based CFAR detection algorithm using truncated statistics 

      Ding, Tao; Doulgeris, Anthony Paul; Brekke, Camilla (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-01-18)
      Target detection in nonhomogeneous sea clutter environments is a complex and challenging task due to the capture effect from interfering outliers and the clutter edge effect from background intensity transitions. For synthetic aperture radar (SAR) measurements, those issues are commonly caused by multiple targets and meteorological and oceanographic phenomena, respectively. This paper proposes a ...