Faculty & Staff Directory
- Adjunct Professor, Hyperspectral Imagery Analysis
Ph.D., Geology, Johns Hopkins University, (1993)
M.S., Geology, Boston College, (1989)
B.S., Geology, Northeastern University, (1984)
Dr. Ronald (Ron) G. Resmini is a Research Scientist in Space and Airborne Systems division of L3Harris Technologies, Inc. and an Adjunct Associate Professor in the College of Science at George Mason University, Fairfax, Virginia. He specializes in visible to infrared multi- and hyperspectral imagery remote sensing; the geological and geophysical sciences; the analysis, design, and development of algorithms for processing and analysis of remotely sensed information; and modeling of natural processes observed in remotely sensed data.
Ron teaches GGS 740, Hyperspectral Imaging Systems; GGS 840, Hyperspectral Imaging Applications; and GGS 579, Remote Sensing.
● Resmini, R.G., 2020; in press. On a synthesis of crystal population dynamics and trace element partitioning models: a mechanism for zoning in minerals. To appear in: Journal of Volcanology and Geothermal Research.
● Resmini, R.G., Christiansen, K.P., and Allen D.W., 2019. Unraveling low abundance intimate mixtures with deep learning. Proceedings of the SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXV, M. Velez-Reyes and D.W. Messinger, eds., 14-18 Apr., Baltimore, MD., v. 10986, 13 p., doi:10.1117/12.2518487.
● Paine, E.C., Slonecker, E.T., Simon, N.S., Rosen, B.H., Resmini, R.G., and Allen, D.W., 2018. Optical characterization of two cyanobacteria genera, Aphanizomenon and Microcystis, with hyperspectral microscopy. Journal of Applied Remote Sensing, v. 12, no. 3, https://doi.org/10.1117/1.JRS.12.036013, 12 p.
● Slonecker, E.T., Allen, D.W., Resmini, R.G., Rand, R.S., and Paine, E., 2018. Full-range, solar-reflected hyperspectral microscopy to support earth remote sensing research. Journal of Applied Remote Sensing, v. 12, no. 2, doi: 10.1117/1.JRS.12.026024, 23 p.
● Stevens, J.R., Resmini, R.G., and Messinger, D.W., 2017. Spectral-density based graph construction techniques for hyperspectral image analysis. IEEE Transactions on Geoscience and Remote Sensing, v. 55, no. 10, pp. 5966-5983, doi:10.1109/TGRS.2017.2718547.
● Rand, R.S., Resmini, R.G., and Allen, D.W., 2017. Modeling linear and intimate mixtures of materials in hyperspectral imagery with single scattering albedo and kernel approaches. Journal of Applied Remote Sensing, v. 11, no. 1, pp. 016005-1 to 016005-28, doi: 10.1117/1.JRS.11.016005.
● Teaching Excellence Award, George Mason University, 2014
● Letter of Appreciation, School of Computational Sciences, George Mason University, 2004