| Robert J. Moorhead, II |
NGI Affiliated Personnel
Office: HPC A127
Phone: (662) 325-2850
Alt. Phone: (662) 325-8278
2 Research Blvd
Mississippi State, MS 39762
Robert J. Moorhead, II received the B.S.E.E. degree from Geneva College, Beaver Falls, PA, in 1980 and the Ph.D. degree in electrical and computer engineering from North Carolina State University in 1985. He is currently a Distinguished Professor in the Department of Electrical and Computer Engineering at Mississippi State University, Mississippi State, and Director of the GeoSystems Research and Northern Gulf Institutes, Mississippi State. He was previously a Research Staff Member at the IBM T.J. Watson Research Center. His current research interests include computationally demanding visualization and analysis issues, usability of visualization systems, and applied visualization. He has previously conducted research in computer communications and image/video coding. He has published more than 150 papers.
computationally demanding visualization and analysis problems, usability of visualization systems, and applied visualization
Publications More Pubications
Samiappan, S., Turnage, G., Hathcock, L. A., & Moorhead, R. J. (2017). Probabilistic Neural Network and Wavelet Transform for Mapping of Phragmites Australis Using Low Altitude Remote Sensing. Proceedings of IEEE SIBGRAPI. Niteroi, Brazil. DOI:10.1109/SIBGRAPI.2017.42.
Samiappan, S., Turnage, G., McCraine, C., Hathcock, L. A., & Moorhead, R. J. (2017). Post-Logging Estimation of Loblolly Pine (Pinus Taeda) Stump Size, Area and Population Using Imagery from a Small Unmanned Aerial System. MDPI Drones. 1(1), 15. DOI:10.3390/drones1010004.
Prince Czarnecki, J. M., Samiappan, S., Wasson, L. L., McCurdy, J. D., Reynolds, D., Williams, W. P., & Moorhead, R. J. (2017). Applications of Unmanned Aerial Vehicles in Weed Science. Advances in Animal Biosciences: Precision Agriculture (ECPA) 2017. Edinburgh, Scotland. 8(2), 807-811. DOI:10.1017/S2040470017001339.
Samiappan, S., Turnage, G., Hathcock, L. A., Yao, H., Kincaid, R., Moorhead, R. J., & Ashby, S. (2017). Classifying Common Wetland Plants Using Hyperspectral Data To Identify Optimal Spectral Bands For Species Mapping Using A Small Unmanned Aerial Systems- A Case Study. Proceedings of IEEE IGARSS. Fort Worth, TX.