David Messinger

David Messinger

Professor
College of Science
Chester F. Carlson Center for Imaging Science

2022 Submissions

Journal Paper

Zawacki, Alexander, et al. "Fragments under the Lens: A Case Study of Multispectral versus Hyperspectral Imaging for Manuscript Recovery." Digital Philology 12. 1 (2023): 123-143. Web. £

Huang, Sihan and David Messinger. "An Unsupervised Laplacian Pyramid Network for Radiometrically-Accurate Data Fusion of Hyperspectral and Multispectral Imagery." Transactions on Geoscience and Remote Sensing 14. 8 (2022): 1. Web. £

Huang, Sihan and David Messinger. "An Unsupervised Cascade Fusion Network for Radiometrically- Accurate Vis-NIR-SWIR Hyperspectral Sharpening." Remote Sensing 14. (2022): 4390. Web. £

2021 Submissions

Journal Paper

Kleynhans, Tania, et al. "Low-Cost Multispectral System Design for Pigment Analysis in Works of Art." Sensors 21. (2021): 1-15. Web. £

Bai, Di, David Messinger, and David Howell. "Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts." Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2020). (2021): 200-214. Print. *

Maali-Amiri, Morteza and David Messinger. "Virtual Cleaning of Works of Art Using Deep Convolutional Neural Networks." Heritage Science 9. 94 (2021): 1-19. Web. £

Starynska, Anna, David Messinger, and Yu Kong. "Revealing a history: palimpsest text separation with generative networks." International Journal on Document Analysis and Recognition (IJDAR) 24. (2021): 181-195. Web. £

Peery, Tyler, et al. "Image Quality in Cultural Heritage." Manuscript Cultures 15. (2021): 91 - 104. Print. £

2020 Submissions

Journal Paper

Peery, Tyler and David Messinger. "Spatial Resolution as a Trade Space for Low-Light Imaging of Sensitive Cultural Heritage Documents." Journal of Cultural Heritage Research. (2020): 1-10. Print. £

Kleynhans, Tania, et al. "An Alternative Approach to Mapping Pigments in Paintings with Hyperspectral Reflectance Image Cubes Using Artificial Intelligence." Heritage Science 8. 84 (2020): 1-16. Print. £

Kleynhans, Tania, David Messinger, and John Delaney. "Towards Automatic Classification of Diffuse Reflectance Image Cubes from Paintings Collected with Hyperspectral Cameras." MicroChemical Journal 157. (2020): 1-9. Web. £ ˜

Published Conference Proceedings

Ducay, Rey and David Messinger. "Radiometric Assessment of Multispectral Pansharpening Methods as Applied to Hyperspectral Imagery." Proceedings of the Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI. Ed. Miguel Velez-Reyes and David Messinger. Bellingham, WA: SPIE, 2020. Web.

Kleynhans, Tania, David Messinger, and John Delaney. "Automatic Material Classification of Paintings in Illuminated Manuscripts from VNIR Reflectance Hyperspectral Data Cubes." Proceedings of the Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI. Ed. Miguel Velez-Reyes and David Messinger. Bellingham, WA: SPIE, 2020. Web.

Huang, Sihan and David Messinger. "Hyperspectral Analysis of Cultural Heritage Artifacts: Using Modified Adaptive Coherence Estimator to Separate Spectra with Subtle Spectral Differences." Proceedings of the Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI. Ed. Miguel Velez-Reyes and David Messinger. Bellingham, WA: SPIE, 2020. Web.

Full Patent

Kucer, Michal, et al. "An Iterative Method for Salient Foreground Detection and Multi-Object Segmentation." U.S. Patent 10,706,549. 7 Jul. 2020.

2019 Submissions

Journal Paper

Bai, Di, David Messinger, and David Howell. "A Hyperspectral Image Spectral Unmixing and Classification Approach to Pigment Mapping in Historical Artifacts." Journal of the American Institute of Conservation 58. 1-2 (2019): 68-89. Print. £

Published Conference Proceedings

Taufique, Abu Md and David Messinger. "Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory." Proceedings of the Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV. Ed. Miguel Velez-Reyes and David Messinger. Baltimore, MD: SPIE, 2019. Print.

Peery, Tyler and David Messinger. "Panchromatic Sharpening Enabling Low-intensity Imaging of Cultural Heritage Documents." Proceedings of the Image Sensing Technologies: Materials, Devices, Systems, and Applications VI. Ed. Nibir K. Dhar, Achyut K. Dutta, and Sachidananda R. Babu. Baltimore, MD: SPIE, 2019. Print.

2018 Submissions

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. £

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.

2015 Submissions

Journal Paper

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. *

Published Conference Proceedings

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. *

2014 Submissions

Journal Paper

Messinger, David W., et al. "Nearest Neighbor Diffusion Based Pan-sharpening Algorithm for Spectral Images." Optical Engineering 53. 1 (2014) Print. *

Published Conference Proceedings

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. *

2013 Submissions

Journal Paper

Sun, Weihua and David W. Messinger. "Knowledge-Based Automated Road Network Extraction System Using Multispectral Images." Optical Engineering 52. 4 (2013) Print. *

Published Conference Proceedings

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. *

2012 Submissions

Journal Paper

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. *

Published Conference Proceedings

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. *

2011 Submissions

Journal Paper

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

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. *

2010 Submissions

Published Article

Bartlett, B.D., M.G. Gartley, D.W. Messinger, C. Salvaggio, J.R. Schott. “Spectro-polarimetric bidirectional reflectance 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 hyperspectral endmember 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 imagery based on spatially local convex hull volume estimation.” IEEE Transactions on Geoscience and Remote Sensing, November 2010. n.p. Print. "  £

Schlamm, A., D.W. Messinger, A. Ziemann, B. Basener. “Change detection in multi- and hyperspectral 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.” Proceedings of the 2010 Western NY Image Processing Workshop, 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. " 

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. " 

Schlamm, A., R. Resmini, D.W. Messinger, B. Basener. “A comparison study of dimension estimation algorithms.” SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 7695 (2010): n.p. Print. " 

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. " 

Ziemann, A., D.W. Messinger, B. Basener, A. Schlamm. “Iterative convex hull volume estimation in hyperspectral imagery for change detection.” SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 7695 (2010): n.p. Print. " 

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. " 

Hagstrom, S., D.W. Messinger, S.D. Brown. “Feature extraction using voxel aggregation of focused discrete LIDAR data.” SPIE, Laser Radar Technology and Applications XV, 7684 (2010): n.p. Print. "