David W. Messinger

33 papers A 1B 1C 4Journal 12Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Image quality and object detection performance. J. Electronic Imaging Austin C. Bergstrom, David W. Messinger
2023	J	`jnl`	Image quality and computer vision performance: assessing the effects of image distortions and modeling performance relationships using the general image quality equation. J. Electronic Imaging Austin C. Bergstrom, David W. Messinger
2022	J	`jnl`	A Dynamical Systems Algorithm for Clustering in Hyperspectral Imagery. CoRR William Basener, Alexey Castrodad, David W. Messinger, Jennifer Mahle, Paul Prue
2022	J	`jnl`	An Unsupervised Cascade Fusion Network for Radiometrically-Accurate Vis-NIR-SWIR Hyperspectral Sharpening. Remote. Sens. Sihan Huang, David W. Messinger
2022	J	`jnl`	An Unsupervised Laplacian Pyramid Network for Radiometrically Accurate Data Fusion of Hyperspectral and Multispectral Imagery. IEEE Trans. Geosci. Remote. Sens. Sihan Huang, David W. Messinger
2022	—	`conf`	Virtual Cleaning of Artworks Usinga Deep Generative Network. CVCS Morteza Maali Amiri, David W. Messinger
2021	J	`jnl`	Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory. CoRR Abu Md Niamul Taufique, David W. Messinger
2021	J	`jnl`	Low-Cost Multispectral System Design for Pigment Analysis in Works of Art. Sensors Tania Kleynhans, David W. Messinger, Roger L. Easton Jr., John K. Delaney
2021	J	`jnl`	Revealing a history: palimpsest text separation with generative networks. Int. J. Document Anal. Recognit. Anna Starynska, David W. Messinger, Yu Kong
2020	—	`conf`	Deep Learning Spatial-Spectral Processing of Hyperspectral Images for Pigment Mapping of Cultural Heritage Artifacts. ICPR Workshops (7) Di Bai, David W. Messinger, David Howell
2018	A	`conf`	Aesthetic Inference for Smart Mobile Devices. WACV Michal Kucer, David W. Messinger
2018	J	`jnl`	Leveraging Expert Feature Knowledge for Predicting Image Aesthetics. IEEE Trans. Image Process. Michal Kucer, Alexander C. Loui, David W. Messinger
2017	—	`conf`	Augmenting Salient Foreground Detection using Fiedler Vector for Multi-Object Segmentation. Computational Imaging Michal Kucer, Nathan D. Cahill, Alexander C. Loui, David W. Messinger
2017	C	`conf`	Global and adaptive K-nearest neighbor graphs in a spectral target detector based on Schroedinger Eigenmaps. IGARSS Leidy P. Dorado-Muñoz, David W. Messinger
2017	—	`conf`	Methods of data augmentation for palimpsest character recognition with Deep Neural Network. HIP@ICDAR Anna Starynska, Roger L. Easton Jr., David W. Messinger
2017	J	`jnl`	Spectral-Density-Based Graph Construction Techniques for Hyperspectral Image Analysis. IEEE Trans. Geosci. Remote. Sens. Jeffrey R. Stevens, Ronald G. Resmini, David W. Messinger
2015	—	`conf`	Classification of hyperspectral images based on conditional random fields. Image Processing: Machine Vision Applications Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger
2015	—	`conf`	Hyperspectral target detection using manifold learning and multiple target spectra. AIPR Amanda K. Ziemann, James Theiler, David W. Messinger
2014	C	`conf`	Effects of cubesat design parameters on image quality and feature extraction for 3D reconstruction. IGARSS Jordyn Stoddard, David W. Messinger, John P. Kerekes
2014	—	`conf`	Manifold representations of single and multiple material classes in high resolution HSI. WHISPERS Amanda K. Ziemann, David W. Messinger
2013	—	`conf`	Analysis and utility of atmospheric compensation of simulated compressive sensing (CS) measurements. WHISPERS Maria Busuioceanu, David W. Messinger, John Greer, Christopher Flake
2013	—	`conf`	Assessing the impact of the edge-weighting function in a graph-based approach to anomaly detection. WHISPERS James A. Albano, Amanda K. Ziemann, David W. Messinger
2012	C	`conf`	Comparison of hyperion spectral unmixing endmembers to material spectral profiles from Oaxaca, Mexico. IGARSS Kelly Canham, Nina G. Raqueno, William Middleton, David W. Messinger
2012	J	`jnl`	Interest Segmentation of Large Area Spectral Imagery for Analyst Assistance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ariel Schlamm, David W. Messinger, William Basener
2011	—	`conf`	A detection-identification process with geometric target detection and subpixel spectral visualization. WHISPERS Bill Basener, Ariel Schlamm, David W. Messinger, Emmett J. Ientilucci
2011	—	`conf`	A graph theoretic approach to anomaly detection in hyperspectral imagery. WHISPERS David W. Messinger, James Albano
2011	B	`conf`	An intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery. ICIP Sreenath Rao Vantaram, Eli Saber, David W. Messinger
2011	—	`conf`	Improved detection and clustering of hyperspectral image data by preprocessing with a euclidean distance transformation. WHISPERS Ariel Schlamm, David W. Messinger
2011	J	`jnl`	Spatially Adaptive Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. Kelly Canham, Ariel Schlamm, Amanda Ziemann, Bill Basener, David W. Messinger
2011	—	`conf`	Techniques for the graph representation of spectral imagery. WHISPERS Ryan A. Mercovich, James Albano, David W. Messinger
2010	—	`conf`	Interest segmentation of hyperspectral imagery. WHISPERS Ariel Schlamm, David W. Messinger, William Basener
2010	—	`conf`	Spectral image complexity estimated through local convex hull volume. WHISPERS David W. Messinger, Amanda Ziemann, Ariel Schlamm, Bill Basener
2006	C	`conf`	Improving Background Multivariate Normality and Target Detection Performance using Spatial and Spectral Segmentation. IGARSS David W. Messinger, Jason E. West, John R. Schott