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W.J. Rhea
Researcher at United States Naval Research Laboratory
Publications - 20
Citations - 461
W.J. Rhea is an academic researcher from United States Naval Research Laboratory. The author has contributed to research in topics: Hyperspectral imaging & Ocean color. The author has an hindex of 9, co-authored 19 publications receiving 442 citations. Previous affiliations of W.J. Rhea include California Institute of Technology.
Papers
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Journal ArticleDOI
Optical scattering and backscattering by organic and inorganic particulates in U.S. coastal waters
William A. Snyder,Robert Arnone,Curtiss O. Davis,Wesley Goode,Richard W. Gould,Sherwin Ladner,Gia Lamela,W.J. Rhea,Robert Hans Stavn,Michael Sydor,Allen Weidemann +10 more
TL;DR: The results of a study of optical scattering and backscattering of particulates for three coastal sites that represent a wide range of optical properties that are found in U.S. near-shore waters can be well approximated by a power-law function of wavelength.
Journal ArticleDOI
Estimating chlorophyll content and bathymetry of Lake Tahoe using AVIRIS data
TL;DR: In this paper, the data on chlorophyll content and bathymetry of Lake Tahoe obtained by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were compared to concurrent in situ surface and in-water measurements.
Journal ArticleDOI
Automatic classification of land cover on Smith Island, VA, using HyMAP imagery
Charles M. Bachmann,T.F. Donato,Gia Lamela,W.J. Rhea,M. H. Bettenhausen,Robert A. Fusina,K.R. Du Bois,John H. Porter,Barry R. Truitt +8 more
TL;DR: Automatic land cover classification maps were developed from Airborne Hyperspectral Scanner imagery acquired May 8, 2000 over Smith Island, VA, a barrier island in the Virginia Coast Reserve to develop models that would be useful to natural resource managers at higher spatial resolution than has been available previously.
Journal ArticleDOI
A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery
Charles M. Bachmann,M. H. Bettenhausen,Robert A. Fusina,T.F. Donato,A.L. Russ,J.W. Burke,Gia Lamela,W.J. Rhea,Barry R. Truitt,John H. Porter +9 more
TL;DR: A credit assignment approach to decision-based classifier fusion is developed and applied to the problem of land-cover classification from multiseason airborne hyperspectral imagery, using a smoothed estimated reliability measure (SERM) in the output domain of the classifiers.
Proceedings ArticleDOI
Manifold learning techniques for the analysis of hyperspectral ocean data
David Gillis,Jeffrey H. Bowles,Gia Lamela,W.J. Rhea,Charles M. Bachmann,Marcos J. Montes,Thomas L. Ainsworth +6 more
TL;DR: The use of manifold learning techniques to separate the various curves, thus partitioning the scene into homogeneous areas is investigated, and ways in which these techniques may be able to derive various scene characteristics such as bathymetry are discussed.