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Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches.

M. Stites, J. Gunther, T. Moon, and G. Williams. Remote Sensing, 5 (4): 1974-1997 (2013)

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P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

A Bayesian Nonparametric Model for Temperature-Emissivity Separation of Long-Wave Hyperspectral Images.C. Berrett, G. Williams, T. Moon, and J. Gunther. Technometrics, 56 (2): 200-211 (2014)Correlated maximum likelihood temperature/emissivity separation of hyperspectral images.D. Neal, T. Moon, J. Gunther, and G. Williams. ACSSC, page 536-540. IEEE, (2015)Introductory overview: Error metrics for hydrologic modelling - A review of common practices and an open source library to facilitate use and adoption.E. Jackson, W. Roberts, B. Nelsen, G. Williams, E. Nelson, and D. Ames. Environmental Modelling and Software, (2019)Extracting the fundamental frequency of a nonlinear chirp signal with modulated harmonic structure using ML, target tracking, and the Viterbi algorithm.T. Moon, J. Gunther, and G. Williams. SP/SPE, page 347-352. IEEE, (2015)Performance of maximum likelihood temperature/emissivity separation of hyperspectral images with correlated Gaussian downwelling radiance.D. Neal, T. Moon, J. Gunther, and G. Williams. ACSSC, page 1608-1612. IEEE, (2016)A review of open source software solutions for developing water resources web applications.N. Swain, K. Latu, S. Christensen, N. Jones, E. Nelson, D. Ames, and G. Williams. Environmental Modelling and Software, (2015)Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches.M. Stites, J. Gunther, T. Moon, and G. Williams. Remote Sensing, 5 (4): 1974-1997 (2013)A systems approach to routing global gridded runoff through local high-resolution stream networks for flood early warning systems.X. Qiao, E. Nelson, D. Ames, Z. Li, C. David, G. Williams, W. Roberts, J. Lozano, C. Edwards, M. Souffront and 1 other author(s). Environmental Modelling and Software, (2019)Extracting atmospheric profiles from hyperspectral data using particle filters.D. Rawlings, J. Gunther, T. Moon, and G. Williams. ACSCC, page 377-381. IEEE, (2012)Hierarchical Bayesian sparse source separation of hyperspectral signals.T. Moon, J. Gunther, C. Berrett, and G. Williams. ACSSC, page 888-892. IEEE, (2013)

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Disambiguation of "Williams, Gustavious P."

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URL
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Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Williams, Gustavious P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches.

Please choose a person to relate this publication to

P. Hommel

P. Abegglen

P. Krasteva

P. E. Bl\"ochl

Philipp P. Hallmen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches.