John Ball
GRI Affiliated Personnel

Office: Simrall 233

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

Selected PublicationsTotal Publications by John Ball:  28 
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., Anderson, D., & Chan, C. (2017). A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community. JARS. 1, 40. DOI:10.1117/1.JRS.11.042609.

Liu, Y., Abdelwahed, S., Ball, J. E., Burch V, R. F., Gafford, J., Doude, M., & Mazzola, M. (2017). Development of a Dynamic Modeling Framework to Predict Instantaneous Status of Towing Vehicle Systems. SAE World Congress 2017. Detroit, MI: SAE.

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]

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