Anthony Vodacek Headshot

Anthony Vodacek

Professor

Chester F. Carlson Center for Imaging Science
College of Science

585-475-7816
Office Location

Anthony Vodacek

Professor

Chester F. Carlson Center for Imaging Science
College of Science

Education

BS, University of Wisconsin; MS, Ph.D., Cornell University

Bio

Anthony Vodacek is a Full Professor of Imaging Science at Rochester Institute of Technology (RIT). He received his B.S. (Chemistry) in 1981 from the University of Wisconsin-Madison and his M.S. and Ph.D. (Environmental Engineering) in 1985 and 1990 from Cornell University. His areas of research lie broadly in multi-modal remote sensing with a focus on the coupling of imaging with modeling for application to monitoring human and natural terrestrial and aquatic systems. His specific expertise is in spectral phenomenology, image interpretation, machine learning, and dynamic data driven applications systems. He has recently worked on applying these methods for projects addressing vehicle tracking, precision agriculture, and harmful algal blooms. His newest research areas involve remote sensing of the African Great Lakes and remote sensing of insects in the context of biodiversity assessment. He has worked in Rwanda on various teaching and research projects for more than a decade. Vodacek is on the Fulbright Specialist roster (2018-2023), is an Associate Editor for the Journal of Great Lakes Research, is a Senior Member of IEEE, supports the IEEE Geoscience and Remote Sensing Society global initiative as the ad hoc regional liaison to Sub-Saharan Africa, and is a Corresponding Fellow of the Pan-African Scientific Research Council.

585-475-7816

Areas of Expertise

Select Scholarship

Journal Paper
Ford, Ryan T. and Anthony Vodacek. "Determining improvements in Landsat spectral sampling for inland water quality monitoring." Science of Remote Sensing, doi:10.1016/j.srs.2020.100005, 1. (2020): 100005. Web.
Bamurigire, Peace, et al. "Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda." Agriculture (Basel), doi:10.3390/agriculture10100431, 10. (2020): 431. Web.
Palumbo, Ilaria, et al. "Building Capacity in Remote Sensing for Conservation: Present and Future Challenges." Remote Sensing in Ecology and Conservation, doi:10.1002/rse2.31, 3. (2017): 21-29. Web.
Uzkent, Burak, Matthew J. Hoffman, and Anthony Vodacek. "Integrating Hyperspectral Likelihoods in a Multidimensional Assignment Algorithm for Aerial Vehicle Tracking." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2016.2560220, 9. (2016): 4325-4333. Web.
Rose, Robert, et al. "The Top 10 Conservation Questions that can be Addressed Through Remote Sensing Technologies." Conservation Biology, doi:10.1111/cobi.12397, 29. 2 (2015): 350--359. Web.
Published Conference Proceedings
Mulhollan, Zachary, et al. "Occlusion Detection for Dynamic Adaptation." Proceedings of the International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, MIT. Ed. Frederica Darema , Erik Blasch, Sai Ravela, Alex Aved. Boston, MA: Springer, doi:10.1007/978-3-030-61725-7_39, 2020. Web.
Mulhollan, Zachary, et al. "Calibrated Vehicle Paint Signatures for Simulating Hyperspectral Imagery." Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Ed. Michael Teutsch and Erhan Gundogdu. Seattle (virtual), WA: IEEE, doi:10.1109/CVPRW50498.2020.00063, 2020. Web.
Ford, Ryan T. and Anthony Vodacek. "Glint Correction of Unmanned Aerial System Imagery." Proceedings of the 2019 IEEE Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS). Ed. Emmett Ientilucci and Chris Renschler. Rochester, NY: IEEE, doi:10.1109/STRATUS.2019.8713171, 2019. Web.

Currently Teaching

IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
0 Credits
Continuation of Thesis
IMGS-111
3 Credits
This course is an exploration of the fundamentals of imaging science and the imaging systems of the past, present, and future. Imaging systems studied include the human visual system, consumer and entertainment applications (e.g., traditional and digital photography, television, digital television, HDTV, and virtual reality); medical applications (e.g., X-ray, ultrasound, and MRI); business/document applications (e.g., impact and non-impact printing, scanners, printers, fax machines, and copiers) and systems used in remote sensing and astronomy (e.g., night-vision systems, ground- and satellite-based observatories). The laboratory component reinforces the principles and theories discussed in the lecture, while giving students experience with many imaging systems and exposure to the underlying scientific principles.

In the News

  • March 6, 2019

    Three researcher watch hyperspectral camera on roof.

    RIT researchers developing ways to use hyperspectral data for vehicle and pedestrian tracking

    A classic scenario plays out in action films ranging from Baby Driver to The Italian Job: criminals evade aerial pursuit from the authorities by seamlessly blending in with other vehicles and their surroundings. The Air Force Office of Scientific Research (AFOSR) has RIT researchers utilizing hyperspectral video imaging systems that make sure it does not happen in real life.