Technology and Methodology |
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A METHOD FOR DETECTING SHIP WAKES IN SAR IMAGES |
ZHANG Yu1, ZHANG Yong-gang1, HUANG Wei-gen2, LOU Xiu-lin2 |
1. Dalian Navy Academy, Dalian 116018, China;
2. Second Institud of Oceanography, Hanzhou 310012, China |
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Abstract This paper presents a method for detecting ship wakes in Synthetic Aperture Radar (SAR) images. The method has been improved on the basis of the Radon transform. The key element of this method is the localization of the Radon transform, whereby the gray integration of the pixels is performed over short line segments rather than across the entire image. It overcomes the limitation of the Radon transform. The results of this test demonstrate the robustness of the method in the presence of noise as well as its capability of detecting wake features that are significantly shorter than the image dimensions.
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Keywords
ArcGIS
Geological hazard map
Map symbol database
Font symbol database
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Issue Date: 02 August 2011
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[1] James D Lyden, et al.Synthetic Aperture Radar Imaging of Surface Ship Wakes[J].Journal of Geop hysical Re-search, 1988, 93(10):12293-12303.[2] Hennings I, Romeiser R, Alpers W, et al.Radar imaging of Kelvin arms of ship wakes[J].INT.J.Remote Sensing,1999, 20(13):2519-2543.[3] Tunaley J K, Buller E H, Wu K H, et al.The Simulation of the SAR Image of a Ship Wake[J].IEEE Transaction on Geos. and Res,1991, 29(1):149-156.[4] Rey M T, James K Tunaley, Folinsbee J T, Jahans P A, et al.Application of Radon TransformTechniques to Wake Detection in Seasat-A SAR Images[J].IEEE Transaction on Geos.and Res,1990,28(4):553-560.[5] Copeland A C, Ravichandran G, Trivedi M.Localized Radon Transform-Based Detection of Ship Wakes in SAR Images[J].IEEE Transaction on Geos. and Res,1995,33(1):35-45.[6] 张伯坚.求逆Radon变换的时频小波方法[J].华南理工大学学报(自然科学版),2000,28(7):128-131. |
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