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Scholarly Works

Peter Bajorski
Professor

2013 Submissions

Journal Paper

Bajorski, P., P. Hall, and H. Rubinstein. "Methodology and Theory for Nonnegative-Score Principal Component Analysis." Statistica Sinica 23. 2 (2013): 963-988. Print. * £

Shows/Exhibits/Installations

Bajorski, P. Target Detection in Constrained Models in Hyperspectral Images. 5 Jun. 2013. Workshop on Compositional Data Analysis, Vorau, Austria. Exhibit.

2012 Submissions

Journal Paper

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

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

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

Bajorski, Peter. "Non-Gaussian Linear Mixing Models for Hyperspectral Images." Journal of Electrical and Computer Engineering 2012. Article ID 818175 (2012): 8 pages-. Print. *

Bajorski, P. "Non-Gaussian Linear Mixing Models for Hyperspectral Images." Journal of Electrical and Computer Engineering 2012. (2012): 1-8. Print. £

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 (2012): 462-469. Print. £

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

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

2011 Submissions

Full Length Book

Bajorski, Peter. Statistics for Imaging, Optics, and Photonics. Rochester, NY: Wiley, 2011. Print. *

Bajorski, Peter. Statistics for Imaging, Optics, and Photonics. 1st ed. Hoboken, NJ: Wiley, 2011. Print. *

Journal Paper

Bajorski, Peter. "Generalized Detection Fusion for Hyperspectral Images." IEEE Transactions on Geoscience and Remote Sensing PP. 99 (2011): 1-7. Print. *

Bajorski, Peter. "Statistical Inference in PCA for Hyperspectral Images." IEEE Journal of Selected Topics in Signal Processing 5. 3 (2011): 438-445. Print. *

Bajorski, Peter. "Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality." IEEE Transactions on Geoscience and Remote Sensing 49. 2 (2011): 672-678. Print. *

Bajorski, Peter. "Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality." IEEE Transactions on Geoscience and Remote Sensing 49. 2 (2011): 672-678. Print. *

Bajorski, Peter. "Statistical Inference in PCA for Hyperspectral Images, IEEE Journal of Selected Topics in Signal Processing,." IEEE Signal Processing 5. 3 (2011): 438-445. Print. *

Bajorski, Peter. "Generalized Detection Fusion for Hyperspectral Images"." IEEE Transactions on Geoscience and Remote Sensing PP. Issue: 99 (2011): 1-7. Print. *

Published Conference Proceedings

Bajorski, Peter. "Directional Segmented Matched Filter for Hyperspectral Images." Proceedings of the Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. A. Plaza. Lisbon: n.p., 2011. Web. *

Bajorski, Peter. "Min-max Detection Fusion for Hyperspectral Images." Proceedings of the Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. A. Plaza. Lisbon: n.p., 2011. Web. *

Invited Presentations/Keynotes

Bajorski, Peter. "Generalized Fusion: A New Framework for Hyperspectral Detection." Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. SPIE. Orlando, Orlando, FL. 25 Apr. 2011. Keynote Speech. ∆

2010 Submissions

Published Article

Ientilucci, E., and P. Bajorski. “Hyperspectral target detection in a whitened space utilizing forward modeling concepts.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

P. Bajorski. “Investigation of Virtual Dimensionality and Broken Stick Rule for Hyperspectral Images.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

Bajorski, P., and N. Sanders, “A Modified Pixel Purity Index Method for Hyperspectral Images.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

Phillips, J., P. Bajorski, P. Burns, E. Fredericks, and M. Rosen. “Comparing image quality of print-on-demand books and photobooks from web-based vendors.” Journal of Electronic Imaging, 19.1 (2010): 011013-7. Web. *

P. Bajorski, “Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality,” IEEE Transactions on Geoscience and Remote Sensing, 48.10 (2010): 1–7. Print. *

Ientilucci, E.J., and P. Bajorski, “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): n.p. Print. £

Kinsman, T.B., P. Bajorski, and J.B. Pelz. “Hierarchical Image Clustering for Analyzing Eye Tracking Videos.” Western New York Image Processing Workshop, 2010. n.p. Print. †