DocumentCode :
3510018
Title :
Bottom topography assessment from SAR images
Author :
Calkoen, C.J. ; Wensink, G.J. ; Hesselmans, G.H.F.M.
Author_Institution :
ARGOSS, Vollenhove, Netherlands
Volume :
3
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
1665
Abstract :
It is well known that under favourable meteorological and hydrodynamic conditions features of the bottom topography of shallow seas are visible in synthetic aperture radar (SAR) images. Models have been developed to simulate SAR contrast variations for a given depth map. Inversion of these models makes it possible to assess the bottom topography from SAR images and a limited amount of measured depth information. This has great economic benefits as traditional bathymetric surveys are expensive and time consuming. At ARGOSS a Bathymetry Assessment System (BAS) has been implemented along these lines. The present operational version is based on simplified, one-dimensional models. It has been tested a dozen times in demonstration/validation projects in various locations. Depth maps were obtained with an accuracy between 20 cm and 30 cm root mean squared. This is sufficient for many applications
Keywords :
bathymetry; geophysical techniques; oceanographic techniques; remote sensing by radar; synthetic aperture radar; ARGOSS; BAS; Bathymetry Assessment System; SAR image; bathymetry; bottom topography assessment; coast; depth map; measurement technique; ocean depth; oceanic crust; one-dimensional model; radar imaging; radar remote sensing; seafloor topography; shallow sea; synthetic aperture radar; Computational modeling; Hydrodynamics; Meteorology; Radar imaging; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Surface topography; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.691686
Filename :
691686
Link To Document :
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