David Messinger
Director of Carlson Center for Imaging Science
Chester F. Carlson Center for Imaging Science
College of Science
Professor
Xerox Chair
585-475-4538
Office Location
David Messinger
Director of Carlson Center for Imaging Science
Chester F. Carlson Center for Imaging Science
College of Science
Professor
Xerox Chair
Education
BS, Clarkson University; Ph.D., Rensselaer Polytechnic Institute
Bio
Dr. Messinger received a Bachelors degree in Physics from Clarkson University and a Ph.D. in Physics from Rensselaer Polytechnic Institute. He has worked as an Analyst for XonTech Inc., on the National Missile Defense Program for Northrop Grumman and was an Intelligence Community Postdoctoral Research Fellow. He is currently a Professor, the Xerox Chair in Imaging Science, and Director of the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology where he was previously the Director of the Digital Imaging and Remote Sensing Laboratory. He is also an Associate Editor of the journal Optical Engineering, a Senior Member of SPIE, serves as the co-Chair of the SPIE conference “Algorithms and Technology for Multispectral, Hyperspectral, and Ultraspectral Imaging”, on the technical committee of the “Department of Energy Conference on Data Analysis (CODA)” and is a member of the USGIF Academic Advisory Board. He has published over 150 scholarly articles. His personal research focuses on projects related to remotely sensed spectral image analysis using physics-based approaches and advanced mathematical techniques with particular emphasis on the use of data driven techniques from the graph theory and manifold learning literatures. Applications of this research have ranged from airborne and space-based imaging for archeology and disaster response to cultural heritage imaging.
585-475-4538
Areas of Expertise
Remote sensing systems
Remote sensing image analysis
Image processing
Currently Teaching
IMGS-891
Continuation of Thesis
0 Credits
Continuation of Thesis
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-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-699
Imaging Science Graduate Co-op
0 Credits
This course is a cooperative education experience for graduate imaging science students.
Latest News
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June 27, 2019
!['A multispectral image of a mid-5th century CE document representing 1 Corinthians.']()
How Historians Can Now See Invisible Text on Ancient Manuscripts
Gizmodo talks to David Messinger, director of the Chester F. Carlson Center for Imaging Science, about using multispectral imaging to reveal ancient text and preserve fading medieval manuscripts.
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April 8, 2019
![13th century piece of parchment paper]()
Scientists use multispectral imaging to uncover lost text from manuscripts in Croatia
Croatia has a treasure trove of historically significant manuscripts, but after 800 years of fading ink and worms eating their parchment, much of the text has become impossible to read. Scientists from RIT are using multispectral imaging to make the writing legible once again and preserve the important information the manuscripts hold.
Select Scholarship
Journal Paper
Kucer, Michal, Alex Loui, and David Messinger. "Leveraging Expert Feature Knowledge for Predicting Image Aesthetics." IEEE Transactions on Image Processing 27. 10 (2018): 5100 - 5112. Print.
Dorado-Munoz, Leidy, David Messinger, and Damien Bove. "Integrating Spatial and Spectral Information for Enhancing Spatial Features in the Gough Map of Great Britain." Journal of Cultural Heritage Research 34. (2018): 159-165. Print.
Fan, Lei and David Messinger. "Joint Spatial-Spectral Hyperspectral Image Clustering Using Block-Diagonal Amplified Affinity Matrix." Optical Engineering 57. 3 (2018): UNK. Web.
Yang, Jie, David Messinger, and Roger Dube. "Bloodstain Detection and Discrimination Impacted by Spectral Shift Using an Interference Filter based VNIR Multispectral Crime Scene Imaging System." Optical Engineering 57. 3 (2018): UNK. Web.
Messinger, David W., et al. "Spatial Segmentation of Multi/hyperspectral Imagery by Fusion of Spectral-gradient-textural Attributes." SPIE Journal of Applied Remote Sensing 9. 1 (2015): 1--37. Print.
Messinger, David W., et al. "Nearest Neighbor Diffusion Based Pan-sharpening Algorithm for Spectral Images." Optical Engineering 53. 1 (2014) Print.
Sun, Weihua and David W. Messinger. "Knowledge-Based Automated Road Network Extraction System Using Multispectral Images." Optical Engineering 52. 4 (2013) Print.
Albano, James A., David W. Messinger, and Stanley R. Rotman. "Commute Time Distance Transformation Applied to Spectral Imagery and its Utilization in Material Clustering." Optical Engineering 51. 7 (2012) Print.
Schlamm, Ariel, David W. Messinger, and Bill Basener. "Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5. 2 (2012) Print.
Messinger, David W., et al. "Metrics of Spectral Image Complexity with Application to Large Area Search." Optical Engineering 51. 3 (2012) Print.
Aardt, Jan A. van, et al. "Geospatial Disaster Response During the Haiti Earthquake: A Case Study Spanning Airborne Deployment, Data Collection, Transfer, Processing, and Dissemination." Photogrammetric Engineering and Remote Sensing 77. 9 (2011): 943-952. Print.
Published Conference Proceedings
Kucer, Michal and David Messinger. "Aesthetic Inference for Smart Mobile Devices." Proceedings of the IEEE Western Conference on Applications in Computer Vision (WACV) 2018. Ed. UNK. Lake Tahoe, NV: IEEE, 2018. Web.
Peery, Tyler and David Messinger. "Processes for Conducting HSI Pan-Sharpening with 3D Digital Flattening." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV. Ed. UNK. Orlando, FL: SPIE, Web.
Peery, Tyler and David Messinger. "MSI vs. HSI in Cultural Heritage Imaging." Proceedings of the Imaging Spectrometry XXII: Applications, Sensors, and Processing. Ed. UNK. San Diego, CA: SPIE, Web.
Bai, Di. "Pigment Diversity Estimation for Hyperspectral Images of the Selden Map of China." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV. Ed. UNK. Orlando, FL: SPIE, 2018. Web.
Messinger, David W. "An Adaptive Locally Linear Embedding Manifold Learning Approach for Hyperspectral Target Detection." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. Baltimore, Maryland: SPIE, 2015. Print.
Messinger, David W. "Streaming Analysis of Track Data from Video." Proceedings of the Geospatial Informatics, Fusion, and Motion Video Analytics V. Baltimore, Maryland: SPIE, 2015. Print.
Messinger, David W. "Schrodinger Eigenmaps for Spectral Target Detection." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI. Baltimore, Maryland: SPIE, 2015. Print.
Messinger, David W. "Effects of Cubesat Design Parameters on Image Quality and Feature Extraction for 3D Reconstruction." Proceedings of the International Geoscience and Remote Sensing Symposium. Quebec, Quebec: IEEE, 2014. Print.
Ziemann, Amanda, David W. Messinger, and James A. Albano. "Target Detection Performed on Manifold Approximations Recovered from Hyperspectral Data." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Fan, Lei, Brittany Ambeau, and David W. Messinger. "A Semi-supervised Classification Algorithm Using The TAD-derived Background as Training Data." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Dorado-Munoz, Leidy, David W. Messinger, and Amanda Ziemann. "Target Detection Using The Background Model from the Topological Anomaly Detection Algorithm." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Busuioceanu, Maria, et al. "Evaluation of the CASSI-DD Hyperspectral Compressive Sensing Imaging System." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Albano, James A., David W. Messinger, and Emmett J. Ientilucci. "Spectral Target Detection Using a Physical Model and A Manifold Learning Technique." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Hagstrom, Shea and David W. Messinger. "Fusing LIDAR-based Voxel Geometry with Multi-angle Visible Imagery." Proceedings of the Laser Radar Technology and Applications XVIII. Baltimore, Maryland: n.p., 2013. Print.
Sun, Weihua and David W. Messinger. "Pan-sharpening of Spectral Image with Anisotropic Diffusion for Fine Feature Extraction Using GPU." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Giannandrea, AnneMarie, et al. "The SHARE 2012 Data Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Canham, Kelly, et al. "SHARE 2012: Large Edge Targets for Hyperspectral Imaging Applications." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, Maryland: n.p., 2013. Print.
Albano, James A., Amanda Ziemann, and David W. Messinger. "Assessing the Impact of the Edge-Weighting Function in a Graph-Based Approach to Anomaly Detection." Proceedings of the IEEE WHISPERS 2013. Gainesville, Florida: n.p., 2013. Print.
Busuioceanu, Maria, et al. "Analysis and Utility of Atmospheric Compensation of Simulated Compressive Sensing (CS) Measurements." Proceedings of the IEEE WHISPERS 2013. n.p., 2013. Print.
Ashok, Luca and David W. Messinger. "A Spectral Image Clustering Algorithm Based on Ant Colony Optimization." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Ziemann, Amanda, et al. "Assessing the Impact of Background Spectral Graph Construction Techniques on the Topological Anomaly Detection Algorithm." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Albano, James A. and David W. Messinger. "Euclidean Commute Time Distance Embedding and its Application to Spectral Anomaly Detection." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Sun, Weihua and David W. Messinger. "An Automated Approach for Constructing Road Network Graph from Multispectral Images." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Sharon, Gil, et al. "Detection of Anomalous Activity in Hyperspectral Imaging: Metrics for Evaluating Algorithms." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Canham, Kelly, et al. "Spectral Library Generation for Hyperspectral Archaeological Validation." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Hagstrom, Shea and David W. Messinger. "Line-of-Sight Measurement in Large Urban Areas using Voxelized Lidar." Proceedings of the Laser Radar Technology and Applications XVII. Baltimore, Maryland: n.p., 2012. Print.
Sun, Jiangquin and David W. Messinger. "Parking Lot Process Model Incorporated into DIRSIG Scene Simulation." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Syed, Abdul H., Eli Saber, and David W. Messinger. "Encoding of Topological Information in Multi-Scale Remotely Sensed Data: Applications to Segmentation and Object-Based Image Analysis." Proceedings of the IEEE Conference on Geographic Object Based Image Analysis (GEOBIA). Rio de Janeiro, Brazil: n.p., 2012. Print.
Herweg, Jared, et al. "SpecTIR Hyperspectral Airborne Rochester Experiment Data Collection Campaign." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Sah, Shagan, et al. "A Multi-Temporal Analysis Approach for Land Cover Mapping in Support of Nuclear Incident Response." Proceedings of the SPIE Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII. Baltimore, MD: n.p., 2012. Print.
Basener, William, et al. "A Detection Identification Process with Geometric Target Detection and Subpixel Spectral Visualization." Proceedings of the WHISPERS 2011. Lisbon, Portugal: n.p., 2011. Print.
Bartlett, Brent D., et al. "Anomaly Detection of Man-made Objects Using Spectro-polarimetric Imagery." Proceedings of the Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. Orlando, FL: n.p., 2011. Print.
Published Article
Bartlett, B.D., M.G. Gartley, D.W. Messinger, C. Salvaggio, J.R. Schott. “Spectro-polarimetric bidirectionalreflectance distribution function determination of in-scene materials and its use in target detection applications.” Journal of Applied Remote Sensing, 4.043552 (2010): 1-21. Print. £
Canham, K., A. Schlamm, A. Ziemann, B. Basener, D.W. Messinger, “Spatially adaptive hyperspectralendmember selection and spectral unmixing.” IEEE Transactions on Geoscience and Remote Sensing, 2010. n.p. Print. †£
Messinger, D.W., A. Ziemann, B. Basener, A. Schlamm. “A complexity metric for spectral imagerybased on spatially local convex hull volumeestimation.” IEEE Transactions onGeoscience and Remote Sensing,November 2010. n.p. Print. †£
Schlamm, A., D.W. Messinger, A. Ziemann, B. Basener.“Change detection in multi- andhyperspectral image tiles based on quantitative measures of point density.”Journal of Applied Remote Sensing.(2010): n.p. Print. †£
Schlamm, A., D.W.Messinger. “A Euclidean Distance Transformation for Improved Anomaly Detection in Spectral Imagery.” Proceedingsof the 2010 Western NY Image ProcessingWorkshop, IEEE, Nov. 2010. n.p. Print. †£
Mercovich, R., A. Harkin, D.W. Messinger. “Utilizing the graph modularity to blind cluster multispectral satellite imagery.” Proceedings of the 2010 Western NY Image Processing Workshop, IEEE, Nov. 2010. n.p. Print. †£
Messinger, D.W., A. Ziemann, B. Basener, A. Schlamm. “Spectral Image Complexity Estimated Through Local Convex Hull Volume.” WHISPERS 2010, (2010): n.p. Print. †£
Schlamm, A., D.W.Messinger, B. Basener. “Interest segmentation of hyperspectral imagery.” WHISPERS 2010, (2010): n.p. Print. †£
Messinger, D.W., J.A. van Aardt, D. McKeown, M.V. Casterline,J.W. Faulring, N.G. Raqueno, B. Basener, M. Velez-Reyes. “High Resolution and LIDAR Imaging Support to the Haiti Earthquake Relief Effort.” Imaging Spectrometry XV, Optics & Photonics, 7812 (August 2010): n.p. Print. â€
Weiner, A., D.W. Messinger. “An End-to-End Airborne FTS Simulation for Evaluating the Performance Trade Space in Fugitive Gas Identification.” Imaging Spectrometry XV,Optics & Photonics, 7812 (August 2010): n.p. Print. â€
Schlamm, A., R. Resmini, D.W. Messinger, B. Basener. “A comparison study of dimension estimationalgorithms.” SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 7695 (2010): n.p. Print. â€
Schlamm, A., D.W.Messinger, B. Basener. “A novel method for change detection in spectral imagery.” SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 7695 (2010): n.p. Print. â€
Ziemann, A., D.W.Messinger, B. Basener, A. Schlamm.“Iterative convex hull volume estimation inhyperspectral imagery for change detection.” SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, andUltraspectral Imagery XVI, 7695 (2010): n.p. Print. â€
Sarrazin, D., J.A. van Aardt, D.W. Messinger, G.P. Asner. “Fusing waveform LIDAR and hyperspectral data for species-level structural assessment in savanna ecosystems.” SPIE, Laser Radar Technology and Applications XV, 7684 (2010): n.p. Print. â€
Hagstrom, S., D.W.Messinger, S.D. Brown. “Feature extraction using voxel aggregation of focuseddiscrete LIDAR data.” SPIE, Laser Radar Technology and Applications XV, 7684 (2010): n.p. Print. â€