DocumentCode
1377153
Title
The Influence of the Inverted Sea Wave Theories on the Derivation of Coastal Bathymetry
Author
Flampouris, Stylianos ; Seemann, Joerg ; Senet, Christian ; Ziemer, Friedwart
Author_Institution
Dept. of Radar Hydrogr., Helmholtz-Zentrum Geesthacht, Geesthacht, Germany
Volume
8
Issue
3
fYear
2011
fDate
5/1/2011 12:00:00 AM
Firstpage
436
Lastpage
440
Abstract
The estimation of nearshore bathymetry by inverting the wave dispersion function is an accepted method. The performance of four different wave theories inverted with dispersive surface classificator for the derivation of the bathymetry is examined during gale oceanographic conditions. The physical and technical limitations for the inversion are taken into consideration. The analyzed data are radar image sequences, and ground truth is an in situ echosounder´s bathymetry data set. All geomorphological features detectable with a 41-m spatial resolution have been identified, but there is an underestimation of the absolute depth. The applicable theories have mean error less than 7%. The nonlinear theories are compared with the linear theory, and the experimental difference of their performance is on the order of the theoretical expectation O (6%-8%).
Keywords
bathymetry; dispersion (wave); geophysical image processing; image sequences; ocean waves; oceanographic techniques; coastal bathymetry; dispersive surface classificator; echosounder bathymetry data set; gale oceanographic conditions; geomorphological features; ground-based X-band radar; inverse modeling; inverted sea wave theories; nonlinear wave theories; radar image sequences; spatial resolution; wave dispersion function; Dispersion; Mathematical model; Radar imaging; Remote sensing; Sea measurements; Signal processing algorithms; Bathymetry; ground-based X-band radar; inverse modeling; nonlinear wave theories;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2010.2082491
Filename
5634067
Link To Document