Michael Gartley
Research Faculty
Chester F. Carlson Center for Imaging Science
College of Science
585-475-5612
Office Location
Michael Gartley
Research Faculty
Chester F. Carlson Center for Imaging Science
College of Science
Education
BS, Binghamton University; MS, Ph.D., Rochester Institute of Technology
Bio
Dr. Michael Gartley is an Assistant Research Professor within the Digital Imaging and Remote Sensing research group within the Center for Imaging Science at RIT. In this role he works on sponsor funded research, serves as research advisor to Imaging Science graduate students, and annually teaches a graduate level Remote Sensing Systems course that covers system performance modeling and analysis.
585-475-5612
Areas of Expertise
Digital Imaging
Remote Sensing
Select Scholarship
Published Conference Proceedings
Gartley, Michael G. "Empirical Measurement and Model Validation of Infrared Spectra of Contaminated Surfaces." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. Baltimore, Maryland: SPIE, 2015. Print.
Gartley, Michael G. "A Comparison of Real and Simulated Airborne Multisensor Imagery." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery. Baltimore, Maryland: SPIE, 2014. Print.
Devaraj, Chabitha, Michael G. Gartley, and John R. Schott. "Influence of Polarization Phenomenology on Material Discriminability Using Multi-view Polarimetric Imagery." Proceedings of the Indian Institute of Technology Conference. n.p., 2013. Print.
Maitra, Sanjet, et al. "Characterization of Basic Scattering Mechanisms Using Laboratory Based Polarimetric Synthetic Aperture Radar Imaging." Proceedings of the IGARSS. Melbourne, Victoria: n.p., 2013. Print.
Kerekes, John P., et al. "Measurements and Modeling of LWIR Spectral Emissivity of Contaminated Quartz Sand." Proceedings of the Workshop on Hyperspectral Image and Signal Processing. Gainesville, FL: n.p., 2013. Print.
Gerace, Aaron D., et al. "Using DIRSIG to Identify Uniform Sites and Demonstrate the Utility of the Side-Slither Calibration Technique for Landsat's New Pushbroom Instruments." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectal, and Ultraspectral Imagery XVIII. Baltimore, Maryland: n.p., 2012. Print.
Maitra, Sanjet, Michael G. Gartley, and John P. Kerekes. "Relation Between Degree of Polarization and Pauli Color Coded Image to Characterize Scattering Mechanisms." Proceedings of the Polarization: Measurement, Analysis and Remote Sensing. Baltimore, Maryland: n.p., 2012. Print.
Schott, John R., et al. "Modeling the Imaging Performance of the Landsat Data Continuity Mission Sensors." Proceedings of the SPIE Earth Observing Systems XVI. Ed. James J. Butler, Xiaoxiong Xiong, and Xingfa Gu. San Diego, CA: n.p., 2011. Print.
Gerace, Aaron D., et al. "Data-driven Simulations of the Landsat Data Continuity Mission (LDCM) Platform." Proceedings of the and Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
Schott, John R., et al. "Modeling the Imaging Performance of the Landsat Data Continuity Mission Sensors." Proceedings of the SPIE Earth Observing Systems XVI. Ed. James J. Butler, Xiaoxiong Xiong, and Xingfa Gu. San Diego, CA: n.p., 2011. Print.
Journal Paper
Gartley, Michael G., et al. "Low Cost Laboratory Based Polarimetric SAR system for Scattering Analysis." IEEE Antennas and Propagation Magazine. (2014): --. Print.
Gartley, Michael G., et al. "An Analysis of the Side Slither On-Orbit Calibration Technique Using the DIRSIG Model." Remote Sensing 6. 11 (2014): 10523--10545. Print.
Gartley, Michael G. and John R. Schott. "Serendipitous Imaging of Space Objects With the Advanced Land Imager." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6. 2 (2013): 440-445. Print.
Schott, John R., et al. "Simulation of Image Performance Characteristics of the Landsat Data Continuity Mission (LDCM) Thermal Infrared Sensor (TIRS)." Remote Sensing 4. (2012): 2477-2491. Print.
Currently Teaching
IMGS-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-740
Imaging Science MS Systems Project Paper
3 Credits
The analysis and solution of imaging science systems problems for students enrolled in the MS Project capstone paper option.
IMGS-765
Performance Modeling and Characterization of Remote Sensing Systems
3 Credits
This course introduces the techniques utilized for system performance predictions of new imaging platforms during their design phase. Emphasis will be placed on systems engineering concepts and their impact on final product quality through first principles modeling. In addition, the student will learn techniques to characterize system performance during actual operation to monitor compliance to performance specifications and monitor system health. Although the focus of the course will be on electro-optical collection systems, some modality specific concepts will be introduced for LIDAR, broadband infrared, polarimetric, and hyperspectral systems.
IMGS-790
Research & Thesis
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-791
Continuation of Thesis
0 Credits
Continuation of Thesis
IMGS-799
Imaging Science Independent Study
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-890
Research & Thesis
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
Continuation of Thesis
0 Credits
Continuation of Thesis
In the News
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April 10, 2024
![an image showing the earth from space in the background and tons of space debris floating around in the foreground.]()
RIT researcher helping Air Force investigate unresolved space objects
Satellites, rocket parts, and other space debris are clogging up the atmosphere with the potential to interfere with space-based assets, including items used for national security like GPS, weather, and communication satellites.
