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:  31 
Dabbiru, L., Aanstoos, J.V., Ball, J. E., & Younan, N. H. (2018). Machine Learning Framework for Mapping of Mississippi River Levees and Damage Assessment Using Terrasar-X Data. IEEE Geoscience and Remote Sensing Society (IGARSS), July 2018. Velencia, Spain. [Abstract]

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.

Dabbiru, L., Aanstoos, J.V., Ball, J. E., & Younan, N. H. (2017). Screening Mississippi River Levees Using Texture-based and Polarimetric-based Features from Synthetic Aperture Radar Data. Electronics. MDPI. 1, 20. [Abstract] [Document Site]

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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