Peter Bajorski

Peter Bajorski's picture

Research Details

Research Interests
  • Target detection and unmixing in hyperspectral images
  • Multivariate Analysis
  • Regression Analysis

Personal Information

Contact Information
Room: 14-2530
Phone: (585)475-7889
Email: pxbeqa@rit.edu

98 Lomb Memorial Dr.
Rochester NY 14623
Title and Degrees
Associate Professor

Ph.D. Mathematical Statistics
BS/MS Mathematics
M.Eng. Industrial Engineering
Personal Web Page
http://www.rit.edu/kgcoe/cqas/about/faculty/peterbajorski.htm

Publications

BOOKS

    Bajorski, P., Statistics for Imaging, Optics, and Photonics, Wiley, Rochester, New York, United States (2011)


REFEREED JOURNAL ARTICLES

    Bajorski, P., "Generalized Detection Fusion for Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing , 50, 4, pp. 1199 -1205 (2012)

    Bajorski, P., Target Detection Under Misspecified Models in Hyperspectral Images, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 2, pp. 470-477 (2012)

    Bajorski, P., Practical Evaluation of Max-Type Detectors for Hyperspectral Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 2, pp. 462-469 (2012)

    Bajorski, P., Non-Gaussian Linear Mixing Models for Hyperspectral Images, Journal of Electrical and Computer Engineering, 2012, Article ID 818175, pp. 8 pages- (2012)

    Bajorski, P., Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality, IEEE Transactions on Geoscience and Remote Sensing , 49, 2, , pp. 672-678 (2011)

    Bajorski, P., Statistical Inference in PCA for Hyperspectral Images, IEEE Journal of Selected Topics in Signal Processing, , IEEE Signal Processing, 5, 3, pp. 438-445 (2011)

    Ientilucci, E.J.; Bajorski, P., Hyperspectral target detection in a whitened space utilizing forward modeling concepts, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 1, 2 (2010)

    Phillips; Bajorski, P.; Burns, P.D.; Fredericks, E.; Rosen, M.R., Comparing image quality of print-on-demand books and photobooks from web-based vendors, Journal of Electronic Imaging, 19, 011013 (2010)

    Ientilucci, E.J.; Bajorski, P., Stochastic Modeling of Physically Derived Signature Spaces, Journal of Applied Remote Sensing, 2, 023532 (2008)

    Bajorski, P., Analytical comparison of the matched filter and orthogonal subspace projection detectors for hyperspectral images, IEEE Transactions on Geoscience and Remote Sensing, 45, Issue 7, Part 2, pp. 2394-2402 (2007)

    Bajorski, P.; Streeter, D.A., Optimization of the Amount and Blending of Cementitious Materials Used in High-Performance Concrete, Journal of the Transportation Research Board, 1698, pp. 30-35 (2000)

    Bajorski, P.; Petkau, J., On the Efficiency of Non Parametric Tests for Comparing Two Groups Based on Changes in an Ordered Categorical Response Variable, Journal of the American Statistical Association, 94, 447, pp. 970-978 (1999)

    Hossain, M.; Bajorski, P.; Yang, W., Frictional Characteristics of Sand and Sand-Deicer Mixtures on Bare Ice, Transportation Research Record, 1585, pp. 30-38 (1997)

    Valenti, R.A.; Bendana; Lall; Bajorski, P., Cutting Costs with Research, Technical Assistance, and Special Services, Transportation Research News, 189, pp. 20-23 (1997)

    Bajorski, P.; Streeter, D.A.; Perry, R.J., Applying Statistical Methods for Further Improvement of High-Performance Concrete for New York State Bridge Decks, Transportation Research Record, 1574, pp. 71-79 (1997)

    Bajorski, P.; Dhar, S.; Sandhu, D., Forward Lighting Configurations for Snowplows, Transportation Research Record, 1533, pp. 59-66 (1996)

    Bajorski, P., On Some One-Sided Tests in the Two Sample Problem, Communications in Statistics: Theory and Methods, 24, 1, pp. 75-86 (1995)

    Bajorski, P., Max Type Rank Tests in the Two Sample Problem, Applicationes Mathematicae, 21, pp. 371-385 (1992)

    Bajorski, P., Exact Bahadur Efficiency of Max Type Rank Tests in the Two Sample Problem, Statistics and Probability Letters, 13, pp. 357-363 (1992)

    Bajorski, P., Local Bahadur Optimality of Some Rank Tests of Independence, Statistics and Probability Letters, 5, pp. 255-262 (1987)


REFEREED CONFERENCE PROCEEDINGS

    Bajorski, P.; Sanders, N.J., A Modified Pixel Purity Index Method for Hyperspectral Images, Workshop on Hyperspectral Image and Signal Processing – Evolution in Remote Sensing, Remote Sensing and Photogrammetry Society , Reykjavik, Iceland, June (2010)

    Bajorski, P., Investigation of Virtual Dimensionality and Broken Stick Rule for Hyperspectral Images, Workshop on Hyperspectral Image and Signal Processing – Evolution in Remote Sensing, Remote Sensing and Photogrammetry Society , Reykjavik, Iceland, June (2010)

    Bajorski, P., On the Reliability of PCA for Complex Hyperspectral Data, Workshop on Hyperspectral Image and Signal Processing – Evolution in Remote Sensing, Remote Sensing and Photogrammetry Society , Grenoble, Rhone-Alpes, France, August (2009)

    Bajorski, P., Does Virtual Dimensionality Work in Hyperspectral Images?, Proceeding of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV, Orlando, Florida, United States, April (2009)

    Bajorski, P., A family of distributions for the error term in linear mixing models for hyperspectral images, Proceeding of SPIE, Imaging Spectrometry XIII, 7086, San Diego, California, United States, August (2008)

    Bajorski, P., Maximum Gaussianity models for hyperspectral images, Proceeding of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 6966, Orlando, Florida, United States, April (2008)

    Bajorski, P., Impact of Missing Endmembers on the Performance of the OSP Detector for Hyperspectral Images, Proceeding of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 6565, Orlando, Florida, United States, April (2007)

    Bajorski, P., Application of Nonnegative Principal Component Analysis in Hyperspectral Imaging, Proceeding of SPIE, Imaging Spectrometry XI, 6302, San Diego, California, United States, August (2006)

    Ientilucci, E.J.; Bajorski, P., Statistical Models for Physically Derived Target Sub-Spaces, Proceedings of SPIE, Imaging Spectrometry XI, 6302, San Diego, California, United States, August (2006)

    Bajorski, P.; Hall, Adaptive smoothing for subpixel target detection in hyperspectral imaging, Proceedings of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 6233, Orlando, Florida, United States, April (2006)

    Bajorski, P., Analytical comparison of the matched filter and orthogonal subspace projection detectors in structured models for hyperspectral images, Proceedings of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 6233, Orlando, Florida, United States, April (2006)

    LaLonde, S.M.; Bajorski, P., A Comparison of Three Approaches to Modeling a Multivariate Response in a Designed Experiment, Joint Statistical Meetings Proceedings, ASA Section on Physical and Engineering Sciences, pp. 1740-1747 (2006)

    Bajorski, P., Impact of Material Abundances Distributions on Detection Power in Hyperspectral Images, Proceedings of IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Seoul, Korea, South, July (2005)

    Bajorski, P., Analytical Treatment of Detection Power in Simulated Hyperspectral Images, Proceedings of IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), Seoul, Korea, South, July (2005)

    Bajorski, P., Stepwise Simplex Projection Method for Selection of Endmembers in Hyperspectral Images, Proceeding of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States, pp. 318-329, April (2005)

    Bajorski, P., Analytical Comparison of Subpixel Target Detectors in Structured Models for Hyperspectral Images, Proceedings of SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 5806, Orlando, Florida, United States, pp. 850-860, April (2005)


CONFERENCE PROCEEDINGS

    Kinsman, T.B.; Bajorski, P.; Pelz, J.B., Hierarchical Image Clustering for Analyzing Eye Tracking Videos, Western New York Image Processing Workshop, IEEE, IEEE Western New York Image Processing Workshop, Rochester, New York, United States, pp. 58-61 (2010)

    Ientilucci, E.J.; Bajorski, P., Impact of BRDF on Physics Based Modeling as Applied to Target Detection in Hyperspectral Imagery, Proceedings of SPIE, SPIE Optic and Photonics, Imaging Spectrometry XI, Imaging Spectrometry XI, 6302, San Diego, Los Angeles, United States, August (2006)

    Bajorski, P.; Ientilucci, E.J.; Schott, J.R., Geometric Basis-Vector Selection Methods and Subpixel Target Detection As Applied to Hyperspectral Imagery, International Geoscience and Remote Sensing Symposium - IGARSS '04, International Geoscience and Remote Sensing Symposium (IGARSS) 2004, Anchorage, Alaska, United States, September (2004)

    Bajorski, P., Simplex Projection Methods for Selection of Endmembers in Hyperspectral Imagery, IEEE, International Geoscience and Remote Sensing Symposium (IGARSS), 5, Anchorage, Alaska, United States, pp. 3207-3210, September (2004)

    Bajorski, P.; Ientilucci, E.J.; Schott, J.R., Comparison of Basis-Vector Selection Methods for target and Background Subspace as Applied to Subpixel Target Detection, Proceedings of SPIE, SPIE Defense and Security, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, 5425, Orlando, Florida, United States, pp. 97-108, April (2004)

    Bajorski, P., Assessment of Highway Safety Measures Using Parametric Estimation in the Poisson Distribution, Hawaii International Conferences, Proceedings of the International Conference on Statistics, Honolulu, Hawaii, United States (2003)

    Bajorski, P., A Texture-Synthesis Algorithm Using Regression Models, American Statistical Association, Proceedings of Section on Physical & Engineering Sciences, Alexandria, Virginia, United States (2002)

    Rybarczyk; Szulc; Bajorski, P., An Approach to IC's Yield Optimization Considering MOS Transistor and Layout Mismatches, IEEE MIXDES, Proceedings of the 8th International Conference Mixed Design of Integrated Circuits and Systems, Zakopane, Malopolskie, Poland, pp. 443-449, June (2001)

    Rybarczyk; Szulc; Bajorski, P., Variability Minimization of Time-Delay for CMOS Static Logic Circuits, IEEE MIXDES, Proceedings of the 7th International Conference Mixed Design of Integrated Circuits and Systems, Gdynia, Pomorskie, Poland, pp. 213-217, June (2000)

    Bajorski, P., Repeated Measures Models for Assessment of Metal Loss in Culverts, American Statistical Association, Proceedings of the Section on Physical and Engineering Sciences, Alexandria, Virginia, United States, pp. 26-30 (1999)

    Bajorski, P.; Ledwina, Large Deviations and Bahadur Efficiency of Some Rank Tests of Independence, Mathematical Statistics and Probability Theory, Proceedings of the 6th Pannonian Symposium on Mathematical Statistics, B, Bad Tatzmannsdorf, Burgenland, Austria, pp. 11-23 (1987)


TECHNICAL REPORTS

    Bajorski, P., Some Asymptotic Results on a Simple Peak Test for Uniformity, Cornell University, Ithaca, New York, United States (1994)

    Bajorski, P., On the Intermediate Efficiency and Deficiency of Some Goodness of Fit Tests Based on Functionals of the Empirical Process, 137, University of British Columbia, Vancouver, British Columbia, Canada (1993)