Name:John Ball
Associated Centers:Center for Advanced Vehicular Systems
Geosystems Research Institute
Email: jeb234@msstate.edu
Office:Simrall Electrical Engineering Building, 233

Research Interest: Radar, Scene Understanding, Digital Signal Processing, Digital Image Processing

Publications: Liu, Y., Gafford, J., Ball, J. E., & Burch V, R. F. (2018). A Kinematic Modeling Framework for Prediction of Instantaneous Status of Towing Vehicle Systems. SAE International Journal of Passenger Cars Mechanical Systems. Society of Automotive Engineers. 11(2), 177-190.

Davis, M., Morgan, C., Hudson, C. R., Ball, J. E., Anderson, D., Bethel, C. L., Liu, Y., Gafford, J., & LeClair, A. M. (2018). Hydra: A Modular, Universal Multisensory Data Collection System. SPIE DCS Defense and Security Program and Symposium. Orlando, FL.

Dabbiru, L., Aanstoos, J.V., & Ball, J. E. (2017). Machine Learning Framework for Levee Slump Slide Detection Using Synthetic Aperture Radar Imagery. SEDAAG 2017. Starkville, MS.

Ball, J. E. (2014). Low Signal-to-Noise Ratio Radar Target Detection Using Linear Support Vector Machines (L-SVM). Proc. IEEE RadarCon 2014. Cincinnati, OH: IEEE. 1291-1294. DOI:10.1109/RADAR.2014.6875798. [Abstract] [Document] [Document Site]

Ball, J. E., Anderson, D., & Samiappan, S. (2014). Hyperspectral Band Selection Based on the Aggregation of Proximity Measures for Automated Target Detection. SPIE. SPIE Conference - DSS, Baltimore, Maryland. [Document Site]

Total Publications by this Author: 30