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
Link To Document :
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