You are here

Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model

TitleAutomated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model
Publication TypeJournal Article
Year of Publication2008
AuthorsSu, H, Liu, H, Heyman, WD
JournalMar. Geod.Mar. Geod.Mar. Geod.
Volume31
Pagination281-298
Keywords6th special issue on marine and coastal GIS, GIS and oceanography, IKONOS, inversion, Levenberg-Marquardt method, optimization, Water depth
Abstract

Most previous studies utilized a log-linear regression model to invert multi-spectral images into bathymetric data. Based on the Levenberg-Marquardt optimization algorithm, we developed an automated method for calibrating the parameters for a non-linear inversion model. Our method has been successfully applied to an IKONOS multispectral image. We compared depth data derived from our model to those estimated using a conventional log-linear inversion model. Bathymetric data derived from the non-linear inversion model are slightly more accurate and stable, particularly for deeper benthic habitats, than those derived from a conventional log-linear model although their overall performances are very similar.

Short TitleMarine GeodesyMarine Geodesy
Alternate JournalMarine Geodesy