3-d coastal water front visualization using radarsat-1 sar satellite data

This paper presents work done to utilize RADARSAT-1 SAR data to reconstruct 3-D of coastal water front.Three algorithms of velocity bunching, Volterra and fuzzy B-spline are used to reconstruct 3-D coastal front.The velocity bunching algorithm modeled significant wave height, Volterra algorithm simu...

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Main Authors: M., Marghany, M., Hashim
Format: Article
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/46462/
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spelling my.utm.464622017-08-27T07:27:14Z http://eprints.utm.my/id/eprint/46462/ 3-d coastal water front visualization using radarsat-1 sar satellite data M., Marghany M., Hashim QC Physics This paper presents work done to utilize RADARSAT-1 SAR data to reconstruct 3-D of coastal water front.Three algorithms of velocity bunching, Volterra and fuzzy B-spline are used to reconstruct 3-D coastal front.The velocity bunching algorithm modeled significant wave height, Volterra algorithm simulated coastal current movement while fuzzy B-spline implemented the significant wave height to reconstruct 3-D coastal front.The study shows the significant wave height varied between 0.7m to 1.3m across the front.The front is dominated by strong tidal current that ranged between 0.9 m/s to 1.5 m/s.This front occurred in water depth of 20 m.Additionally, fuzzy B-spline reconstructed 3-D front with smooth graphic feature.Indeed, fuzzy B-spline tracked the smooth and rough surface.Finally, fuzzy B-spline algorithm can keep track of uncertainty with representing spatially clustered gradient of flow points across the front.In conclusion, the fuzzy B-spline algorithm can be used for 3-D front reconstruction with integration of velocity bunching and Volterra algorithm. 2012 Article PeerReviewed M., Marghany and M., Hashim (2012) 3-d coastal water front visualization using radarsat-1 sar satellite data. Progress in Electromagnetics Research Symposium . pp. 1801-1804. ISSN 1559-9450
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QC Physics
spellingShingle QC Physics
M., Marghany
M., Hashim
3-d coastal water front visualization using radarsat-1 sar satellite data
description This paper presents work done to utilize RADARSAT-1 SAR data to reconstruct 3-D of coastal water front.Three algorithms of velocity bunching, Volterra and fuzzy B-spline are used to reconstruct 3-D coastal front.The velocity bunching algorithm modeled significant wave height, Volterra algorithm simulated coastal current movement while fuzzy B-spline implemented the significant wave height to reconstruct 3-D coastal front.The study shows the significant wave height varied between 0.7m to 1.3m across the front.The front is dominated by strong tidal current that ranged between 0.9 m/s to 1.5 m/s.This front occurred in water depth of 20 m.Additionally, fuzzy B-spline reconstructed 3-D front with smooth graphic feature.Indeed, fuzzy B-spline tracked the smooth and rough surface.Finally, fuzzy B-spline algorithm can keep track of uncertainty with representing spatially clustered gradient of flow points across the front.In conclusion, the fuzzy B-spline algorithm can be used for 3-D front reconstruction with integration of velocity bunching and Volterra algorithm.
format Article
author M., Marghany
M., Hashim
author_facet M., Marghany
M., Hashim
author_sort M., Marghany
title 3-d coastal water front visualization using radarsat-1 sar satellite data
title_short 3-d coastal water front visualization using radarsat-1 sar satellite data
title_full 3-d coastal water front visualization using radarsat-1 sar satellite data
title_fullStr 3-d coastal water front visualization using radarsat-1 sar satellite data
title_full_unstemmed 3-d coastal water front visualization using radarsat-1 sar satellite data
title_sort 3-d coastal water front visualization using radarsat-1 sar satellite data
publishDate 2012
url http://eprints.utm.my/id/eprint/46462/
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score 13.2014675