*This article was part of the 2005 Nystrom Competition. A portion of this research was supported by a NASA Graduate Student Researchers Program (GSRP) fellowship, with John R. Jensen, University of South Carolina, and Richard Miller, NASA John C. Stennis Space Center. Curtiss Davis, Robert Leathers, and T. Valerie Downes performed Hydrolight simulations. K. Carder, C. Mazel, R. Zimmerman, H. Dierssen, E. Louchard, and R. Pamela Reid supplied field data. Zimmerman provided the HyperTSRB-derived data, with preprocessing by Dierssen. All data were made available under the auspices of the Office of Naval Research–funded Coastal Benthic Optical Properties (CoBOP) program. The author thanks the anonymous reviewers for their constructive remarks, which improved the quality and clarity of this article.
Derivative-Neural Spectroscopy for Hyperspectral Bathymetric Inversion*
Version of Record online: 19 APR 2007
The Professional Geographer
Volume 59, Issue 2, pages 236–255, May 2007
How to Cite
Filippi, A. M. (2007), Derivative-Neural Spectroscopy for Hyperspectral Bathymetric Inversion. The Professional Geographer, 59: 236–255. doi: 10.1111/j.1467-9272.2007.00610.x
- Issue online: 19 APR 2007
- Version of Record online: 19 APR 2007
- Initial submission, July 2005; revised submission, January, May, and July 2006; final acceptance, August 2006.
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