DocumentCode
2565404
Title
Volterra-fuzzy B-spline algorithm for 3D coastal bathymetry reconstruction
Author
Marghany, Maged ; Hashim, Mazlan
Author_Institution
Inst. for Sci. & Technol. Geospatial (INSTEG), Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2009
fDate
18-19 Nov. 2009
Firstpage
504
Lastpage
507
Abstract
This paper presents a new approach for three-dimensional (3D) coastal bathymetry reconstruction 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 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.
Keywords
bathymetry; oceanographic techniques; TOPSAR multipolarized data; Volterra-fuzzy B-spline algorithm; bathymetry map; data points; global topological structure; polarised L; sounding data values; spatial resolution; standard error mean; three-dimensional coastal bathymetry reconstruction; three-dimensional surface models; Differential equations; Image reconstruction; Kernel; Oceanographic techniques; Oceans; Polarization; Sea measurements; Speckle; Spline; Surface reconstruction; Fuzzy B-spline algorithm; TOPSAR polarised data; Volterra model; bathymetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-5560-7
Type
conf
DOI
10.1109/ICSIPA.2009.5478708
Filename
5478708
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