AssenSAR Wake Detector

This code implements a method for detecting ship wakes in synthetic aperture radar (SAR) images of the sea surface. The method is based on a linear model assumption for the wakes and hence the Radon transform is employed, within an inverse problem formulation, for detecting the wakes. The cost function associated with the image formation model includes a sparsity enforcing penalty, i.e., the generalized minimax concave (GMC) function. Despite being a nonconvex function, the GMC penalty allows the overall cost function to remain convex. The proposed solution is based on a Bayesian formulation, whereby the point estimates are recovered using a maximum a posteriori (MAP) estimation.

Complete download (zip, 20.1 MiB)

Alternative title Ship Wake Detection in SAR Images via GMC Regularization
Creator(s) Oktay Karakus, Alin Achim
Publication date 12 May 2020
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.f2q4t5pqlix62sv5ntvq51yjy
Citation Oktay Karakus, Alin Achim (2020): AssenSAR Wake Detector.
Total size 20.1 MiB


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