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• W2160116837 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." @default.
• W2160116837 created "2016-06-24" @default.
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• W2160116837 date "2008-12-05" @default.
• W2160116837 modified "2023-09-30" @default.
• W2160116837 title "Automated Derivation of Bathymetric Information from Multi-Spectral Satellite Imagery Using a Non-Linear Inversion Model" @default.
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• W2160116837 doi "https://doi.org/10.1080/01490410802466652" @default.
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