NDLI: Ship Detection in Ice-Infested Waters Based on Dual-Polarization SAR Imagery

Content Provider	IEEE Xplore Digital Library
Author	Brekke, C. Anfinsen, S.N.
Copyright Year	2004
Abstract	This letter discusses the potential of automatic ship detection in ice-infested waters based on satellite synthetic aperture radar (SAR) imagery. The popular K -distribution is used to model the backscatter statistics of sea ice clutter. The goodness of fit of this model is assessed with the Kolmogorov-Smirnov and Anderson-Darling test statistics for both VV and VH polarizations. We also test the impact of introducing the Method of Log Cumulant (MoLC) estimator for the shape parameter of the K-distribution. Finally, a constant false-alarm rate ship detection algorithm, applying the K -distribution with the MoLC estimator, is evaluated on dual-polarization RADARSAT-2 SAR data. Our results demonstrate that this is a viable approach to ship detection in ice-infested waters.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	391
Ending Page	395
Page Count	5
File Size	797961
File Format	PDF
ISSN	1545598X
Volume Number	8
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marine vehicles Sea ice Moment methods Pixel Object detection Synthetic aperture radar synthetic aperture radar (SAR) Goodness of fit $K$ -distribution sea ice ship detection
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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