Peter Torrione

Image of Peter Torrione

Assistant Research Professor in the Department of Electrical and Computer Engineering

Appointments and Affiliations
  • Assistant Research Professor in the Department of Electrical and Computer Engineering
Contact Information:
Education:

  • Ph.D. Duke University, 2008

Research Interests:

Statistical signal processing, machine learning, pattern recognition with a focus on remote sensing, and buried threat detection

Specialties:

Signal Processing

Courses Taught:

    Representative Publications: (More Publications)
      • Torrione, PA; Morton, KD; Sakaguchi, R; Collins, LM, Histograms of oriented gradients for landmine detection in ground-penetrating radar data, IEEE Transactions on Geoscience and Remote Sensing, vol 52 no. 3 (2014), pp. 1539-1550 [10.1109/TGRS.2013.2252016] [abs].
      • Ratto, CR; Jr, KDM; Collins, LM; Torrione, PA, Bayesian context-dependent learning for anomaly classification in hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol 52 no. 4 (2014), pp. 1969-1981 [10.1109/TGRS.2013.2257175] [abs].
      • Tantum, SL; Colwell, KA; Jr, WRS; Torrione, PA; Collins, LM; Jr, KDM, Sparse model inversion and processing of spatial frequency-domain electromagnetic induction sensor array data for improved landmine discrimination, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016063] [abs].
      • Malof, JM; Jr, KDM; Collins, LM; Torrione, PA, A novel framework for processing forward looking infrared imagery with application to buried threat detection, Proceedings of SPIE - The International Society for Optical Engineering, vol 8709 (2013) [10.1117/12.2016113] [abs].
      • Tantum, SL; Jr, WRS; Jr, KDM; Collins, LM; Torrione, PA, Target classification and identification using sparse model representations of frequency-domain electromagnetic induction sensor data, IEEE Transactions on Geoscience and Remote Sensing, vol 51 no. 5 (2013), pp. 2689-2706 [10.1109/TGRS.2012.2215876] [abs].