Matthew Hoffman

College of Art and Design College of Engineering Technology College of Health Sciences and Technology College of Liberal Arts College of Science Golisano College of Computing and Information Sciences Golisano Institute for Sustainability International Campuses Kate Gleason College of Engineering National Technical Institute for the Deaf Saunders College of Business

Matthew Hoffman

Professor
College of Science
Chester F. Carlson Center for Imaging Science
School of Mathematical Sciences

2015 Submissions

Journal Paper

Hoffman, Matthew J., et al. "Feature Matching with an Adaptive Optical Sensor in a Ground Target Tracking System." IEEE Sensors Journal 15. 1 (2015): 510--519. Print. *

Hoffman, Matthew J., et al. "Integrating Hyperspectral Likelihoods in a Multi-dimensional Assignment Algorithm for Aerial Vehicle Tracking." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (2015): --. Print. *

Uzkent, Burak, Matthew J. Hoffman, and Anthony Vodacek. "Spectral Validation of Measurements in a Vehicle Tracking DDDAS." Procedia Computer Science 51. (2015): 2493—2502. Web. «

Published Conference Proceedings

Hoffman, Matthew J. "Background Image Understanding and Adaptive Imaging for Vehicle Tracking." Proceedings of the SPIE Defense + Security. Baltimore, Maryland: SPIE, 2015. Print. *

Hoffman, Matthew J. "Efficient Integration of Spectral Features for Vehicle Tracking Utilizing an Adaptive Sensor." Proceedings of the IS&T/SPIE Electronic Imaging 2015. San Francisco, California: SPIE, 2015. Print. *

Uzkent, Burak, Matthew J. Hoffman, and Anthony Vodacek. "Efficient integration of spectral features for vehicle tracking utilizing an adaptive sensor." Proceedings of the SPIE Conference on Video Surveillance and Transportation Imaging Applications. Ed. Robert Loce and Eli Saber. San Francisco, CA: n.p., 2015. Web. «

Uzkent, Burak, et al. "Background image understanding and adaptive imaging for vehicle tracking." Proceedings of the SPIE Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XII. Ed. Daniel J. Henry, et al. Baltimore, MD: n.p., 2015. Web. ˜

Hoffman, Matthew J. "Spectral Validation of Measurements in a Vehicle Tracking DDDAS." Proceedings of the Procedia Computer Science. , Reykjavik: , 2015. Print. *

Invited Keynote/Presentation

Hoffman, Matthew J. "Ground Target Tracking Utilizing DDDAS Based Control of an Adaptive Optical Sensor." IEEE Geoscience and Remote Sensing Joint Chapter Meeting. IEEE Geoscience and Remote Sensing Joint Chapter. Rochester, NY. 31 Mar. 2015. Lecture.

2013 Submissions

Published Conference Proceedings

Uzkent, Burak, et al. "Feature Matching and Adaptive Prediction Models in an Object Tracking DDDAS." Proceedings of the Procedia Computer Science. n.p., 2013. Print. *

2012 Submissions

Journal Paper

Urquhart, E., et al. "Remotely Sensed Estimates of Surface Salinity in the Chesapeake Bay." Remote Sensing of the Environment 23. (2012): 522-531. Print. *

Hoffman, M. J., et al. "Assessment of Mars Atmospheric Temperature Retrievals from the Thermal Emission Spectrometer Radiances." Icarus 220. 2 (2012): 1031-1039. Print. *

Greybush, S. J., et al. "Ensemble Kalman Filter Data Assimilation of Thermal Emission Spectrometer Temperature Retrievals into a Mars GCM." Journal of Geophysical Research: Planets 117. E11 (2012) Web. *

Hoffman, M. J., et al. "An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation." J. Atmos. Oceanic Technol. 29. (2012): 1542-1557. Print. *

Greybush, Steven J., et al. "Identifying Martian atmospheric instabilities and their physical origins using bred vectors." Quarterly Journal of the Royal Meteorological Society. (2012) Print. *