Brad Ratliff

Contact Information

  • Email: Brad Ratliff
  • Phone: cell: 937-479-4550
  • Location: Kettering Laboratories KL 241 F

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Brad Ratliff

Senior Image Processing Engineer at UDRI

  • Adjunct

Selected Publications

  • Tyo, J. S., Ratliff, B. M., & Alenin, A. S. (2016). Adapting the HSV polarization-color mapping for regions with low intensity and high polarization. Opt. Let., 41(20), 4759-4762.
  • Ratliff, B. M., & Kaufman, J. R. (2015). Scene-based correction of fixed pattern noise in hyperspectral image data using temporal reordering. Opt. Eng., 54(9).
  • Ratliff, B. M., Hayat, M. M. & Tyo, J. S. (2005). Generalized algebraic scene-based nonuniformity correction algorithm. J. Opt. Soc. Amer. A, 22, 239-249.
  • Ratliff, B. M., Hayat, M. M., & Tyo, J. S. (2003). Radiometrically accurate scene-based nonuniformity correction for array sensors. J. Opt. Soc. Amer. A, 20, 1890-1899.
  • Ratliff, B. M., Hayat, M. M., & Hardie, R. C. (2002). An algebraic algorithm for nonuniformity correction in focal-pane arrays. J. Opt. Soc. Amer. A, 19, 1737-1747.

Selected Patents

  • Chipman, R. A., Pau, S., Tyo, J. S., & Ratliff, B. M. (2014). Microgrid imaging polarimeters with frequency domain reconstruction, University of Arizona, issued Sept. 2, 2014. U.S. Patent No. 8,823,848.
  • Ratliff, B. M., Hayat, M. M., Tyo, J. S., & Turner, Jr., T. S. (2006). Uniform, non-disruptive, and radiometrically accurate calibration of infrared focal plane arrays using global scene motion, University of New Mexico, issued Nov. 7, 2006. U.S. Patent No. 7,132,648.

Selected Honors and Awards

  • 2017 Annual Performance Award, University of Dayton Research Institute
  • 2006 Tom L. Popejoy Dissertation Prize, University of New Mexico

Degrees

  • Ph.D., University of New Mexico, 2004
  • M.S. Electrical Engineering, University of Dayton, 2001
  • B.S. Computer Engineering, University of Dayton, 2000 (cum laude)

Courses Taught

  • ECE334
  • ECE505

Research Interests

Signal and image processing algorithm development, optimization and evaluation for remote sensing applications in EO/IR data. Motion estimation, image registration, image restoration and enhancement, scene-based algorithm development, digital image stabilization, image segmentation, object identification and tracking, and pattern recognition. Remote sensing algorithm development for multi-modal, multi-spectral, and hyper-spectral data. Data exploitation, feature extraction, and target detection and identification for ISR applications. Development of algorithms for polarimetric imaging devices (particularly microgrid imaging polarimeters) and related applications.