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David W. Messinger

Affiliations: 
Imaging Science Rochester Institute of Technology, Rochester, NY, United States 
Area:
Remote Sensing, Electronics and Electrical Engineering, Computer Science
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Parents

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Children

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Shawn Higbee grad student 2009 Rochester Institute of Technology
Ariel Schlamm grad student 2010 Rochester Institute of Technology
Aaron Weiner grad student 2010 Rochester Institute of Technology
Kelly Canham grad student 2012 Rochester Institute of Technology
Ryan A. Mercovich grad student 2012 Rochester Institute of Technology
Weihua Sun grad student 2013 Rochester Institute of Technology
James A. Albano grad student 2014 Rochester Institute of Technology
Shea T. Hagstrom grad student 2014 Rochester Institute of Technology
Jiangqin Sun grad student 2014 Rochester Institute of Technology

Collaborators

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Miguel Velez-Reyes collaborator Rochester Institute of Technology
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Publications

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Kleynhans T, Patterson CMS, Dooley KA, et al. (2020) An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence Heritage Science. 8
Kleynhans T, Messinger DW, Delaney JK. (2020) Towards automatic classification of diffuse reflectance image cubes from paintings collected with hyperspectral cameras Microchemical Journal. 157: 104934
Peery TR, Messinger DW. (2020) Spatial resolution as a trade-space for low-light imaging of sensitive cultural heritage documents Journal of Cultural Heritage
Bai D, Messinger DW, Howell D. (2019) A hyperspectral imaging spectral unmixing and classification approach to pigment mapping in the Gough & Selden Maps Journal of the American Institute For Conservation. 58: 69-89
Kucer M, Loui AC, Messinger DW. (2018) Leveraging expert feature knowledge for predicting image aesthetics. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Fan L, Messinger DW. (2018) Joint spatial-spectral hyperspectral image clustering using block-diagonal amplified affinity matrix Optical Engineering. 57: 33107
Yang J, Messinger DW, Dube RR. (2018) Bloodstain detection and discrimination impacted by spectral shift when using an interference filter-based visible and near-infrared multispectral crime scene imaging system Optical Engineering. 57: 33101
Dorado-Munoz L, Messinger DW, Bove D. (2018) Integrating spatial and spectral information for enhancing spatial features in the Gough map of Great Britain Journal of Cultural Heritage. 34: 159-165
Gibbs TJ, Messinger DW. (2017) Contaminant mass estimation of powder contaminated surfaces Proceedings of Spie. 10198
Yao W, Aardt Jv, Messinger D. (2017) On the creation of high spatial resolution imaging spectroscopy data from multi-temporal low spatial resolution imagery Proceedings of Spie. 10198: 1019814
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