3D coastal bathymetry reconstruction using topsar data
Coastal bathymetry is considered to provide key parameters for coastal engineering and coastal navigation. In this paper we address the question of reducing the effect of speckle on the accuracy of depth determination in coastal waters using TOPSAR multi-polarized data without needing to include any...
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my.utm.146392020-03-04T01:38:54Z http://eprints.utm.my/id/eprint/14639/ 3D coastal bathymetry reconstruction using topsar data Marghany, Maged G Geography (General) T Technology (General) Coastal bathymetry is considered to provide key parameters for coastal engineering and coastal navigation. In this paper we address the question of reducing the effect of speckle on the accuracy of depth determination in coastal waters using TOPSAR multi-polarized data without needing to include any sounding data values. In doing so, two three-dimensional surface models, the Volterra model and a fuzzy B-Spline model, which construct a global topological structure between the data points, were used to support an approximation to the real surface. The statistical differences between real bathymetry map, CVV band and LHH band showed that the best reconstruction of coastal bathymetry was obtained with polarised L and C bands SAR acquired with HH and VV polarizations, respectively. With 10 m spatial resolution of TOPSAR data, bias of -0.04 and the standard error mean of 0.05 m in depth determination was obtained with LHH band. 2009 Conference or Workshop Item PeerReviewed Marghany, Maged (2009) 3D coastal bathymetry reconstruction using topsar data. In: IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2009), 2009, Cape Town, South Africa. http://dx.doi.org/10.1109/IGARSS.2009.5418121 |
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Coastal bathymetry is considered to provide key parameters for coastal engineering and coastal navigation. In this paper we address the question of reducing the effect of speckle on the accuracy of depth determination in coastal waters using TOPSAR multi-polarized data without needing to include any sounding data values. In doing so, two three-dimensional surface models, the Volterra model and a fuzzy B-Spline model, which construct a global topological structure between the data points, were used to support an approximation to the real surface. The statistical differences between real bathymetry map, CVV band and LHH band showed that the best reconstruction of coastal bathymetry was obtained with polarised L and C bands SAR acquired with HH and VV polarizations, respectively. With 10 m spatial resolution of TOPSAR data, bias of -0.04 and the standard error mean of 0.05 m in depth determination was obtained with LHH band. |
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Conference or Workshop Item |
author |
Marghany, Maged |
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Marghany, Maged |
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Marghany, Maged |
title |
3D coastal bathymetry reconstruction using topsar data |
title_short |
3D coastal bathymetry reconstruction using topsar data |
title_full |
3D coastal bathymetry reconstruction using topsar data |
title_fullStr |
3D coastal bathymetry reconstruction using topsar data |
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3D coastal bathymetry reconstruction using topsar data |
title_sort |
3d coastal bathymetry reconstruction using topsar data |
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2009 |
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http://eprints.utm.my/id/eprint/14639/ http://dx.doi.org/10.1109/IGARSS.2009.5418121 |
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